scholarly journals Mental health among children and adolescents: Construct validity, reliability, and parent-adolescent agreement on the ‘Strengths and Difficulties Questionnaire’ in Chile

PLoS ONE ◽  
2018 ◽  
Vol 13 (2) ◽  
pp. e0191809 ◽  
Author(s):  
Jorge Gaete ◽  
Jesus Montero-Marin ◽  
Daniela Valenzuela ◽  
Cristian A. Rojas-Barahona ◽  
Esterbina Olivares ◽  
...  
2019 ◽  
Vol 1 (2) ◽  
pp. 177-196 ◽  
Author(s):  
Michael Tarren-Sweeney ◽  
Anouk Goemans ◽  
Anna Sophie Hahne ◽  
Matthew Gieve

Although children residing in statutory out-of-home care and those adopted from care are more likely than not to have mental health difficulties requiring clinical intervention or support, their difficulties often remain undetected. Children’s agencies have a duty of care to identify those child clients who require therapeutic and other support services, without regard to the availability of such services. The present article proposes a first-stage mental health screening procedure (calibrated for high sensitivity) for children and adolescents (ages 4–17) in alternative care, which children’s agencies can implement without clinical oversight using the Strengths and Difficulties Questionnaire (SDQ) and Brief Assessment Checklists (BAC). The screening procedure was derived from analyses of BAC, SDQ, and “proxy SDQ” scores obtained in three national studies of children and adolescents residing in alternative care (Australia, the Netherlands, and England). The SDQ and BAC demonstrated moderate to high screening accuracy across a range of clinical case criteria—the SDQ being slightly better at predicting general mental health problems and the BAC slightly better at predicting attachment- and trauma-related problems. Accurate first-stage screening is achieved using either the SDQ or the BAC alone, with recommended cut points of 10 (i.e., positive screen is 10 or higher) for the SDQ and 7 for the BAC. Greater accuracy is gained from using the SDQ and BAC in parallel, with positive screens defined by an SDQ score of 11 or higher or a BAC score of 8 or higher. Agencies and post-adoption support services should refer positive screens for comprehensive mental health assessment by clinical services.


2020 ◽  
Author(s):  
Lydia Gabriela Speyer ◽  
Anastasia Ushakova ◽  
Hildigunnur Anna Hall ◽  
Michelle Luciano ◽  
Bonnie Auyeung ◽  
...  

Background: Most mental health difficulties have their onset during childhood and adolescence. Many children who suffer from one mental health issue also suffer from at least one comorbid disorder. Autoregressive latent trajectory models with structured residuals (ALT-SR) and multilevel graphical vector autoregression (GVAR) are recent complementary approaches that can help provide new insights into the reciprocal relationships between multiple mental health domains and advance the understanding of the development of comorbidities.Methods: This study uses ALT-SR and multilevel GVAR models to analyse the temporal, contemporaneous and between-person relationships between emotional problems, peer problems, conduct problems, hyperactivity/inattention and prosociality as measured by the parent-reported Strengths and Difficulties Questionnaire (SDQ) in 17,478 children taking part in the UK Millennium Cohort Study at ages 3, 5, 7, 11, 14 and 17 years. Results: Results from both the ALT-SR model and the multilevel GVAR model highlight that children’s strengths and difficulties in different domains of psychosocial functioning dynamically influence each other over- and within-time. The ALT-SR model highlighted that hyperactivity/inattention plays a central role in affecting other domains over developmental time while the GVAR model highlighted comparably strong bidirectional relationships between conduct problems and prosociality as well as between emotional problems and peer problems. Both models suggest that most domains are also related to each other over shorter timescales.Conclusion: This study highlights that mental health difficulties influence one another dynamically over time. As illustrated in the domains of the SDQ, these dynamic changes can be modelled using the complementary techniques of ALT-SR or GVAR models, each offering different insights into the nature of comorbidity.


2012 ◽  
Vol 200 (5) ◽  
pp. 426-427 ◽  
Author(s):  
Anna Goodman ◽  
Robert Goodman

SummaryBritish local authorities are required to monitor the mental health of looked after children using mean Strengths and Difficulties Questionnaire (SDQ) scores from parents or carers. This assumes that differences in mean SDQ scores reflect genuine differences in child mental health in this group, something we examined using nationally representative surveys (n = 1391, age 5–16). We found that the SDQ was a genuinely dimensional measure of mental health in these children and provided accurate estimates of disorder prevalence.


PLoS ONE ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. e0144039 ◽  
Author(s):  
Sharmila Vaz ◽  
Reinie Cordier ◽  
Mark Boyes ◽  
Richard Parsons ◽  
Annette Joosten ◽  
...  

2022 ◽  
Vol 40 ◽  
Author(s):  
Marcone de Souza Oliveira ◽  
Mayke Felipe Dias Marinho ◽  
Stela Maris Aguiar Lemos

Abstract Objective: To identify associations between clinical characteristics of children with attention-deficit/hyperactivity disorder (ADHD) and their sociodemographic aspects, quality of life, and results from the strengths and difficulties questionnaire. Methods: This is an observational analytical cross-sectional study with a non-probabilistic sample consisting of 72 children diagnosed with ADHD, aged 6 to 13 years, treated at 2 neuropediatric outpatient clinics. The instruments used were the Multimodal Treatment Study of Children with Attention-Deficit/Hyperactivity Disorder – Swanson, Nolan, and Pelham, version IV (MTA-SNAP-IV), the Strengths and Difficulties Questionnaire (SDQ), the Brazilian Economic Classification Criteria (CCEB), and the Quality of Life Assessment Scale for Children and Adolescents (AUQEI). We performed descriptive, bivariate, and multivariate analyses, considering a 5% significance level. Results: SDQ results were associated with abnormal MTA-SNAP-IV results (inattentive/hyperactive/combined). A 1-point increment in the SDQ score increased by 36.5% the likelihood of the child having an abnormal MTA-SNAP-IV classification. Regarding AUQEI, 30.6% of participants perceived their quality of life as poor and 69.4% as good. Conclusions: A higher SDQ score increased the child's chance of having an abnormal MTA-SNAP-IV result.


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