Early childhood assessments of community pediatric professionals predict autism spectrum and attention deficit hyperactivity problems.

For clinically referred children with Autism Spectrum Disorder (ASD) or Attention Deficit/Hyperactivity Disorder (ADHD) several early indicators have been described. However, knowledge is lacking on early markers of less severe variants of ASD and ADHD from the general population. The aim of the present study is to identify early indicators of high risk groups for ASD and ADHD problems based on routine data from community pediatric services between infancy and age four. Data are from 1,816 participants who take part in Tracking Adolescents' Individual Lives Survey (TRAILS), a longitudinal study. Information on early developmental factors was extracted from charts of routine Preventive Child Healthcare (PCH) visits. To assess ASD and ADHD problems, respectively, we used the Children's Social Behavior Questionnaire (CSBQ) and the Child Behavior Checklist (CBCL), filled out by parents three times between the ages of 11 and 17. Note that these are parent ratings and not diagnostic instruments performed by trained clinicians. Male gender, low birth weight, low level of education of the mother, social, behavioral, language, psychomotor and eating problems significantly predicted ASD problems (odds ratios (OR) between 1.34 and 2.41). ADHD problems were also predicted by male gender and low level of education of the mother and by maternal smoking during pregnancy, good gross motor skills in first year, early attention and hyperactivity problems, and absence of parent-reported positive behavior (ORs between 1.36 and 1.74). Routine data on early childhood from PCH services are predictive for ASD and ADHD problems in adolescents in the general population. The PCH services are a useful setting to identify high risk groups, and to monitor them subsequently.

Growth during infancy and childhood, and adiposity at age 16 years: ages 2 to 7 years are pivotal.

OBJECTIVE: To assess the period during infancy and childhood in which growth is most associated with adolescent adiposity and the metabolic syndrome (MS) and whether this differs depending on maternal smoking during pregnancy. STUDY DESIGN: A longitudinal population-based cohort study among 772 girls and 708 boys. RESULTS: Weight gains between ages 2-4 years and ages 4-7 years were most strongly associated with higher body mass index (BMI), sum of skinfold measurements, body fat percentage, and waist circumference at age 16. A one SD increase in weight between ages 2-4 and 4-7 years was associated with increases in outcome measures of +0.82 to +1.47 SDs (all P < .001), and with a less favorable MS score. In children whose mothers smoked during pregnancy, the association of relative weight gain during ages 2-4 years with adolescent BMI was stronger than in children whose mothers did not smoke. For adolescent BMI, the increase was 0.42 SD higher (P = .01). This was similar for the other adiposity measures. CONCLUSIONS: Large relative increases in weight from ages 2 to 7 years are associated with adolescent adiposity and MS. This is more pronounced in adolescents whose mothers smoked during pregnancy.

Preventive child health care findings on early childhood predict peer-group social status in early adolescence.

PURPOSE: A disputed social status among peers puts children and adolescents at risk for developing a wide range of problems, such as being bullied. However, there is a lack of knowledge about which early predictors could be used to identify (young) adolescents at risk for a disputed social status. The aim of this study was to assess whether preventive child health care (PCH) findings on early childhood predict neglected and rejected status in early adolescence in a large longitudinal community-based sample. METHODS: Data came from 898 participants who participated in TRAILS, a longitudinal study. Information on early childhood factors was extracted from the charts of routine PCH visits registered between infancy and age of 4 years. To assess social status, peer nominations were used at age of 10-12 years. RESULTS: Multinomial logistic regression showed that children who had a low birth weight, motor problems, and sleep problems; children of parents with a low educational level (odds ratios [ORs] between 1.71 and 2.90); and those with fewer attention hyperactivity problems (ORs = .43) were more likely to have a neglected status in early adolescence. Boys, children of parents with a low educational level, and children with early externalizing problems were more likely to have a rejected status in early adolescence (ORs between 1.69 and 2.56). CONCLUSIONS: PCH findings on early childhood-on motor and social development-are predictive of a neglected and a rejected status in early adolescence. PCH is a good setting to monitor risk factors that predict the social status of young adolescents.

Trajectories of psychosocial problems in adolescents predicted by findings from early well-child assessments.

PURPOSE: To describe trajectories of emotional and behavioral problems in adolescents and to identify early indicators of these trajectories using data from routine well-child assessments at ages 0-4 years. METHODS: Data from three assessment waves of adolescents (n = 1,816) of the TRAILS were used (ages: 11-17 years). Information on early indicators (at ages 0-4 years) came from the records of the well-child services. Trajectories of emotional and behavioral problems were based on the parent-reported Child Behavior Checklist and the adolescent-reported Youth Self-Report, filled out at ages 11, 14, and 17 years. Multinomial logistic regression analysis was used to examine the predictive value of these early indicators on trajectories. RESULTS: For boys and girls, we found four trajectories for each outcome: one with high problem levels, and three with middle-high, middle-low, and low levels. For emotional problems, the type of trajectory was predicted by parental educational level and parental divorce or single parents, for both genders. Moreover, sleep problems were predictive in boys and language problems in girls (odds ratios between 1.53 and 7.42). For behavioral problems, the type of trajectory was predicted by maternal smoking during pregnancy, parental educational level, and parental divorce or single parents, for both genders. Moreover, for boys, early behavioral problems and attention hyperactivity problems were predictive (odds ratios between 1.64 and 5.43). CONCLUSIONS: Trajectories of emotional and behavioral problems during adolescence are rather stable and can be predicted by a parsimonious set of data from early well-child assessments.

Early findings of preventive child healthcare professionals predict psychosocial problems in preadolescence: the TRAILS study.

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.

Limited validity of parental recall on pregnancy, birth, and early childhood at child age 10 years.

OBJECTIVE: Evidence on the validity of parental recall of early childhood behavior is lacking. Our aim was to examine the validity of parental recall at child age 10-12 years for maternal lifestyle during pregnancy, the birth characteristics, and early childhood behavior. STUDY DESIGN AND SETTING: The study population comprised 2,230 children and their parents. Children aged 10-12 years were recruited from elementary schools (response: 76.0%). Parents were asked to recall lifestyle during pregnancy, birth characteristics, and childhood behavior at age 4-6 years. Recalled data were compared with information registered by Preventive Child Healthcare (PCH) from birth onwards. RESULTS: For birth weight and gestational age, we found no systematic difference between recalled and PCH-registered data; 95% limits of agreement were + or - 1.2 pounds (600 g) and + or - 2.4 weeks, respectively. For maternal alcohol use during pregnancy and early childhood behavior problems, Cohen's kappas were low (0.03-0.11). Compared with PCH registration, parents tended to overreport at age 10-12 years. In contrast, kappa was high for maternal smoking during pregnancy (0.77). CONCLUSION: Retrospectively collected information on lifestyle during pregnancy, birth, and early childhood behavior is sometimes biased, which limits its value in estimating the contribution of early-life adversity to health in later life.

Psychiatric and psychological factors in patient decision making concerning antidepressant use.

The observation that the use of antidepressants has strongly increased during the past decade implies that on a micro level doctors and patients more often decide that antidepressants are the appropriate treatment. Therefore, it is important to increase insight into patients' decision making regarding the use of antidepressants. The decision making model used in the present study was based on A. Bandura's (1986) social cognitive theory. Two cohorts of patients were recruited and followed for 9 months. Among patients who use antidepressants (N = 166), the stronger pros and weaker cons of discontinuation and self-efficacy predicted more proximal goal intentions. Goal intentions predicted discontinuation after 9 months. Among patients who had used antidepressants in the past (N = 73), stronger pros of discontinuation and the weaker perceived functions of antidepressants predicted a more positive evaluation of their present state, compared with when they still used antidepressants. These temporal comparisons, in turn, predicted renewed use of antidepressants after 9 months. The results provide a framework for supporting and influencing decision making with regard to the use of antidepressants.