OBJECTIVE: To develop and validate a prediction model for psychosocial problems in preadolescence using data on early developmental factors from routine Preventive Child Healthcare (PCH). STUDY DESIGN: The data come from the 1692 participants who take part in the TRacking Adolescents' Individual Lives Survey, a longitudinal study. Information on early developmental factors (ages 0 to 4 years) was collected from the PCH file. Parents complete the Child Behavior Checklist when their child is age 11. To examine the predictive value of PCH-registered developmental factors on preadolescent problems, several multiple logistic regression analysis were performed, in a derivation sample (n = 1058). The predictive performance of the models was then assessed with area under the curve (AUC) in a validation sample (n = 643) to evaluate the validity of these models. RESULTS: PCH-registered behavioral problems, attention/hyperactivity problems, enuresis, education level of the father, and being male were found to significantly predict externalizing problems (odds ratios [OR] between 1.4 and 3.7). Internalizing problems were predicted by maternal smoking during pregnancy, sleep problems, and being male (ORs between 1.7 and 3.0). The model for externalizing problems had a modest discriminatory power (AUC 0.66, 95% confidence interval 0.59-0.72). However, for internalizing problems the AUC was 0.54 (95% confidence interval 0.47-0.60), indicating poor discriminatory power. CONCLUSIONS: Findings on early development as registered by PCH are modestly predictive for externalizing problems in preadolescents, but only slightly for internalizing problems. Copyright (c) 2010 Mosby, Inc. All rights reserved.
OBJECTIVE: To develop and validate a prediction model for psychosocial problems in preadolescence using data on early developmental factors from routine Preventive Child Healthcare (PCH). STUDY DESIGN: The data come from the 1692 participants who take part in the TRacking Adolescents' Individual Lives Survey, a longitudinal study. Information on early developmental factors (ages 0 to 4 years) was collected from the PCH file. Parents complete the Child Behavior Checklist when their child is age 11. To examine the predictive value of PCH-registered developmental factors on preadolescent problems, several multiple logistic regression analysis were performed, in a derivation sample (n = 1058). The predictive performance of the models was then assessed with area under the curve (AUC) in a validation sample (n = 643) to evaluate the validity of these models. RESULTS:PCH-registered behavioral problems, attention/hyperactivity problems, enuresis, education level of the father, and being male were found to significantly predict externalizing problems (odds ratios [OR] between 1.4 and 3.7). Internalizing problems were predicted by maternal smoking during pregnancy, sleep problems, and being male (ORs between 1.7 and 3.0). The model for externalizing problems had a modest discriminatory power (AUC 0.66, 95% confidence interval 0.59-0.72). However, for internalizing problems the AUC was 0.54 (95% confidence interval 0.47-0.60), indicating poor discriminatory power. CONCLUSIONS: Findings on early development as registered by PCH are modestly predictive for externalizing problems in preadolescents, but only slightly for internalizing problems. Copyright (c) 2010 Mosby, Inc. All rights reserved.
Authors: Albertine J Oldehinkel; Judith Gm Rosmalen; Jan K Buitelaar; Hans W Hoek; Johan Ormel; Dennis Raven; Sijmen A Reijneveld; René Veenstra; Frank C Verhulst; Wilma Am Vollebergh; Catharina A Hartman Journal: Int J Epidemiol Date: 2014-11-26 Impact factor: 7.196
Authors: Karin Veldman; Ute Bültmann; Roy E Stewart; Johan Ormel; Frank C Verhulst; Sijmen A Reijneveld Journal: PLoS One Date: 2014-07-21 Impact factor: 3.240
Authors: Michelle Black; Amy Barnes; Mark Strong; Anna Brook; Anna Ray; Ben Holden; Clare Foster; David Taylor-Robinson Journal: Int J Environ Res Public Health Date: 2021-11-04 Impact factor: 3.390