The Strengths and Difficulties Questionnaire Parent Form:Dutch norms and validity

OBJECTIVE: This study provides Dutch national norms for the parent-reported Strengths and Difficulties Questionnaire (SDQ) for children aged 3-14 years, and assesses the test performance of the SDQ Total Difficulties Scale (TDS) and impairment Scale. We further compared Dutch SDQ norms with those of the United Kingdom (UK), to determine potential variation in country-specific norms. STUDY DESIGN: We analyzed data of 3384 children aged 3 to 14 years. The data were obtained in schools, and in the context of Preventive Child Healthcare. Parents completed the SDQ parent form and the Child Behavior Checklist (CBCL). We determined clinical (10% elevated scores) and borderline (20% elevated scores) SDQ TDS norms. We assessed the test performance (validity) of the SDQ TDS and Impairment Score using the CBCL as criterion. RESULTS: The clinical SDQ TDS norms varied between > 10 and > 14 depending on the age group. The SDQ TDS discriminated between children with and without problems, as measured by the CBCL, for all age groups (AUCs varied from 0.92 to 0.96). The SDQ Impairment Score had added value (beyond the SDQ TDS) only for the age group 12-14 years. For the Netherlands we found lower clinical SDQ TDS norms than those previously reported for the UK (i.e. > 16). CONCLUSION: The clinical SDQ TDS norms varied between > 10 and > 14 depending on the age groups. We found good test performance at these proposed norms. Dutch norms differed somewhat from UK norms. In the Netherlands, the SDQ performed better with Dutch-specific norms than with UK-specific norms

The longitudinal association between potential stressful life events and the risk of psychosocial problems in 3-year-old children

BackgroundExperiencing certain potentially stressful life events can impact psychosocial well-being among school-aged children and adolescents. This study aims to evaluate the association between life events occurring before age 2 and risk of psychosocial problems at 3 years of age.MethodsAll parents invited for the regular well-child visit when their child was 2 years of age by the preventive Youth Health Care in the Rotterdam-Rijnmond area, the Netherlands, were invited to participate in this study. In total 2,305 parents completed the baseline questionnaire at child age 2-years; 1,540 parents completed the questionnaire at child age 3-years. The baseline questionnaire included a life events assessment (12 items), and tension caused by the event (range 0–3). At child age 3-years the questionnaire included the Strengths and Difficulties Questionnaire (SDQ) to assess risk of psychosocial problems. Logistic regression models were applied.ResultsIn the current study 48.5% of families experienced ≥1 life event before child age 2 years. Divorce and problems in the relationship between the parents received the highest perceived severity score [respectively 2.1 (SD = 0.8) and 2.0 (SD = 0.7)]. Children experiencing ≥1 event before the age of 2 years were at higher risk of psychosocial problems at 3 years of age, compared to children that had experienced no life event (1–2 events OR = 1.50, 95%CI: 1.09; 2.06, and >2 events OR = 2.55, 95%CI 1.64; 4.00, respectively). When life events caused high perceived levels of tension, there was also an association with an increased risk of psychosocial problems at age 3-years (OR = 2.03, 95%CI 1.43; 2.88).ConclusionsApproximately half of children in our study experienced a potential stressful life event before the age of 2 years. Results suggest an association between experiencing a life event and risk of psychosocial problems at child age 3-years. These findings emphasize the need for child health care professionals to pay attention to life events taking place in the life of young children in order to provide appropriate support

Discrepantie tussen jeugdhulpgebruik en hulpbehoefte: Onderzoek in rotterdamse wijken

Objective: To determine the relationship between the need for care and the use of care in the youth care system at neighbourhood level and the relationship with population characteristics, with consideration of the decentralisation of youth care. Design: Descriptive, retrospective study. Method: Data on youth care use, indicators of need for care and population characteristics were gathered from monitors and the records of the municipality, institutions and health insurance companies. Data were grouped on a neighbourhood level (n = 49). For the analyses we used univariate and multivariate regression. We used these to distinguish between neighbourhoods with large and small gaps between youth care use and need for youth care. Differences between these neighbourhoods were analysed with t-tests. Results: A multivariate model showed that the percentage of youths with emotional problems and behavioural problems and the percentage of parents with self-reported need for care were not predictors of youth care use at a neighbourhood level. About two thirds of the variance in youth care use between neighbourhoods could be explained by the population characteristics of a neighbourhood, particularly the percentage of youths originally fromnon-western countries, the percentage of youths with a low level of education or special training and the percentage of people who received income support. The number of 12-18-year-olds in a neighbourhood was a predictor of youth mental health care, and the percentage of youths in a single-parent family was a predictor of out-patient youth and parenting support. Neighbourhoods with a large gap between the need for and use of youth care were socially more disadvantaged than neighbourhoods with a smaller gap. Conclusion: Population characteristics explain the rate of use of youth care better than the need for youth care in a neighbourhood as measured by municipal monitors. The possible gap between the use of and need for youth care on an individual level in neighbourhoods with many characteristics of disadvantage is an important focus point for future neighbourhood teams. Conflict of interest: none declared. Financial support: none declared

Feeding styles, parenting styles and snacking behaviour in children attending primary schools in multiethnic neighbourhoods: A cross-sectional study

textabstractObjective: The aim of the present study was to investigate whether feeding styles and parenting styles are associated with children's unhealthy snacking behaviour and whether the associations differ according to children's ethnic background. Method: Cross-sectional data from the population-based 'Water Campaign' study were used. Parents (n=644) of primary school children (6-13 years) completed a questionnaire covering sociodemographic characteristics, feeding style dimensions ('control over eating', 'emotional feeding', 'encouragement to eat' and 'instrumental feeding'), parenting style dimensions ('involvement' and 'strictness') and children's unhealthy snacking behaviour. Logistic regression analyses were performed to determine whether feeding styles and parenting styles were associated with children's unhealthy snacking behaviour. Result: Overall, children whose parents had a higher extent of 'control over eating' had a lower odds of eating unhealthy snacks more than once per day (OR, 0.57; 95% CI 0.42 to 0.76). Further stratified analysis showed that 'control over eating' was associated with less unhealthy snacking behaviour only in children with a Dutch (OR, 0.37; 95% CI 0.20 to 0.68) or a Moroccan/Turkish (OR, 0.44; 95% CI 0.25 to 0.77) ethnic background. 'Encouragement to eat' was associated with a lower odds of eating unhealthy snacks every day in children with a Dutch ethnic background only (OR, 0.48; 95% CI 0.25 to 0.90). 'Instrumental feeding' was associated with a higher odds of eating unhealthy snacks more than once a day in children with a Moroccan/Turkish ethnic background only (OR, 1.43; 95% CI 1.01 to 2.04). Conclusion: Our results suggest that 'control over eating' may be associated with less unhealthy snack consumption in children. The associations of feeding styles and parenting styles with children's unhealthy snacking behaviour differed between children with different ethnic backgrounds

Means and standard deviations of BITSEA Problem and Competence scores and CBCL Total Problem score for the total population and for subgroups by child gender and ethnicity.

1<p>Percentages do not sum to 100 because of missing values.</p>*<p>mean scores differed significantly between boys & girls and native & non-native children, p<0.05.</p

Screening accuracy for a range of BITSEA Problem scores, relative to a CBCL Total problem score in the clinical range.

<p>NOTE: AUC = area under the curve; LHR+ = liklihood ratio positive test; LHR− = liklihood ratio negative test; OR = diagnostic odds ratio. All AUC’s were significant (p<0.01). Scores with the highest unroundend Youden’s index are indicated in bold.</p