ROC curve for the decision-tree model.

<p>ROC curve for the decision-tree model.</p

Decision-tree model predicting borderline/clinically significant psychological problems.

<p><i>Note</i>. The colored terminal nodes show the rates of having borderline/clinical psychological symptoms within each profile (bold) and within the total target group (italic); The terminal nodes are colored coded into high-risk cases (> 50%); medium-risk cases (25–50%); and low-risk cases (< 25%); ^* <i>p</i> ≤ .05; ^** <i>p</i> ≤ .01, two-tailed.</p

Sociodemographic and clinical characteristics of the sample (<i>N</i> = 736).

<p>Sociodemographic and clinical characteristics of the sample (<i>N</i> = 736).</p

Establishing priorities for psychological interventions in pediatric settings: A decision-tree approach using the DISABKIDS-10 Index as a screening instrument

<div><p>Most children and adolescents with chronic health conditions have impaired health-related quality of life and are at high risk of internalizing and externalizing problems. However, few patients present clinically significant symptoms. Using a decision-tree approach, this study aimed to identify risk profiles for psychological problems based on measures that can be easily scored and interpreted by healthcare professionals in pediatric settings. The participants were 736 children and adolescents between 8–18 years of age with asthma, epilepsy, cerebral palsy, type-1diabetes or obesity. The children and adolescents completed self-report measures of health-related quality of life (DISABKIDS-10) and psychological problems (Strengths and Difficulties Questionnaire). Sociodemographic and clinical data were collected from their parents/ physicians. Children and adolescents were classified into the normal (78.5%) or borderline/clinical range (21.5%) according to the Strengths and Difficulties Questionnaire cut-off values for psychological problems. The overall accuracy of the decision-tree model was 78.1% (sensitivity = 71.5%; specificity = 79.9%), with 4 profiles predicting 71.5% of borderline/clinical cases. The strongest predictor of psychological problems was a health-related quality of life standardized score below the threshold of 57.5 for patients with cerebral palsy, epilepsy or obesity and below 70.0 for patients with asthma or diabetes. Other significant predictors were low socio-economic status, single-parent household, medication intake and younger age. The model showed adequate validity (risk = .28, SE = .02) and accuracy (area under the Receiver Operating Characteristic curve = .84; CI = .80/.87). The identification of pediatric patients at high risk for psychological problems may contribute to a more efficient allocation of health resources, particularly with regard to their referral to specialized psychological assessment and intervention.</p></div

Additional file 3: of Assessing health-related quality of life in Japanese children with a chronic condition: validation of the DISABKIDS chronic generic module

Intercorrelation (Pearson r) between total score and sub-scales for excluding 0 and 100 scores. (PDF 78 kb

Additional file 2: of Assessing health-related quality of life in Japanese children with a chronic condition: validation of the DISABKIDS chronic generic module

Summary of Confirmatory Factor Analysis. (PDF 10 kb

Risk and protective factors of health-related quality of life in children and adolescents: Results of the longitudinal BELLA study

<div><p>Aims</p><p>Cross-sectional studies demonstrated associations of several sociodemographic and psychosocial factors with generic health-related quality of life (HRQoL) in children and adolescents. However, little is known about factors affecting the change in child and adolescent HRQoL over time. This study investigates potential psychosocial risk and protective factors of child and adolescent HRQoL based on longitudinal data of a German population-based study.</p><p>Methods</p><p>Data from the BELLA study gathered at three measurement points (baseline, 1-year and 2-year follow-ups) were investigated in <i>n</i> = 1,554 children and adolescents aged 11 to 17 years at baseline. Self-reported HRQoL was assessed by the KIDSCREEN-10 Index. We examined effects of sociodemographic factors, mental health problems, parental mental health problems, as well as potential personal, familial, and social protective factors on child and adolescent HRQoL at baseline as well as over time using longitudinal growth modeling.</p><p>Results</p><p>At baseline, girls reported lower HRQoL than boys, especially in older participants; low socioeconomic status and migration background were both associated with low HRQoL. Mental health problems as well as parental mental health problems were negatively, self-efficacy, family climate, and social support were positively associated with initial HRQoL. Longitudinal analyses revealed less increase of HRQoL in girls than boys, especially in younger participants. Changes in mental health problems were negatively, changes in self-efficacy and social support were positively associated with the change in HRQoL over time. No effects were found for changes in parental mental health problems or in family climate on changes in HRQoL. Moderating effects for self-efficacy, family climate or social support on the relationships between the investigated risk factors and HRQoL were not found.</p><p>Conclusion</p><p>The risk factor mental health problems negatively and the resource factors self-efficacy and social support positively affect the development of HRQoL in young people, and should be considered in prevention programs.</p></div

Description of the analyzed sample of children and adolescents aged 11 to 17 years (at baseline).

<p>Description of the analyzed sample of children and adolescents aged 11 to 17 years (at baseline).</p

Descriptive statistics and univariate analyses of covariance by height deviation and treatment groups.

<p>Descriptive statistics and univariate analyses of covariance by height deviation and treatment groups.</p

Additional file 1: of Assessing health-related quality of life in Japanese children with a chronic condition: validation of the DISABKIDS chronic generic module

Mean, SD, Correlations, and Cronbach Îą of Items. (PDF 121 kb