The present study investigated reciprocal relationships between adolescent mothers and their children’s well-being through an analysis of the coupling relationship of mothers’ depressive symptomatology and children’s internalizing and externalizing behaviors. Unlike studies using discrete time analyses, the present study used dynamical systems to model time continuously, which allowed for the study of dynamic, transactional effects between members of each dyad. Findings provided evidence of coupling between maternal depressive symptoms and children’s behaviors. The most robust finding was that as maternal depressive symptoms became more or less severe, children’s behavior problems increased or decreased in a reciprocal manner. Results from this study extended upon theoretical contributions of authors such as Richters (1997) and Granic and Hollenstein (2003), providing empirical validation from a longitudinal study for understanding the ongoing, dynamic relationships between at-risk mothers and their children.

Inherent in applied developmental sciences is the threat to validity and generalizability due to missing data as a result of participant dropout. The current paper provides an overview of how attrition should be reported, which tests can examine the potential of bias due to attrition (e.g., t-tests, logistic regression, Little's MCAR test, sensitivity analysis), and how it is best corrected through modern missing data analyses. To amend this discussion of best practices in managing and reporting attrition, an assessment of how developmental sciences currently handle attrition was conducted. Longitudinal studies (n ¼ 541) published from 2009-2012 in major developmental journals were reviewed for attrition reporting practices and how authors handled missing data based on recommendations in the Publication Manual of the American Psychological Association (APA, 2010). Results suggest attrition reporting is not following APA recommendations, quality of reporting did not improve since the APA publication, and a low proportion of authors provided sufficient information to convey that data properly met the MAR assumption. An example based on simulated data demonstrates bias that may result from various missing data mechanisms in longitudinal data, the utility of auxiliary variables for the MAR assumption, and the need for viewing missingness along a continuum from MAR to MNAR.

Objective This randomized controlled trial tested the efficacy of parent-based behavioral counseling for reducing secondhand smoke exposure (SHSe) among children with cancer. It also examined predictors of smoking and SHSe outcomes. Methods Participants were 135 parents or guardians of non-smoking children with cancer, <18 yrs, at least 30 days post-diagnosis, living with at least one adult smoker. Parents were randomized to either a standard care control group or an intervention consisting of six counseling sessions delivered over three months. Parent-reported smoking and child SHSe levels were obtained at baseline, 3, 6, 9, and 12 months. Children provided urine samples for cotinine analyses. Results Reductions in parent-reported smoking and exposure were observed in both the intervention and control conditions. There was a significantly greater reduction in parent-reported smoking and child SHSe at 3 months for the intervention group compared to the control group. Child SHSe was significantly lower at 12 months relative to baseline in both groups. Children’s cotinine levels did not show significant change over time in either group. Exposure outcomes were influenced by the number of smokers at home, smoking status of the parent participating in the trial, and the child’s environment (home vs. hospital) the day before the assessment. Conclusions Children’s SHSe can be reduced by advising parents to protect their child from SHSe, combined with routine reporting of their child’s exposure and cotinine testing, when delivered in the context of the pediatric cancer setting. More intensive interventions may be required to achieve greater reductions in SHSe.

The present study explored the antecedents and correlates of metaparenting, defined as mental plans for parenting across five subscales: responding, preventing, monitoring, mentoring, and modeling. Cross sectional data on a diverse sample of 74 fathers were drawn from a larger longitudinal project that interviewed men four times over the first two years of their children's lives. A structural equation model revealed that fathers' reports of positive parenting role models and intelligence were found to be related to working models of parenting as measured by the five components of metaparenting. Most importantly, higher levels of metaparenting were associated with authoritative parenting and less abuse potential. Results provided preliminary evidence for the importance of a mental model of parenting among fathers.

Youth may be particularly attuned to social evaluation during the teen years with implications for physical and mental health. Negative attitudes and stereotypes constitute an important type of social evaluative threat. Pregnant and parenting teens not only encounter challenges associated with their early transition to parenthood, but also are confronted with unfavourable attitudes of others. A university sample of 255 men and women responded to surveys targeting their feelings and beliefs about pregnant teens, teen mothers and teen fathers. Teen mothers were generally perceived more positively than pregnant teens who were perceived more positively compared to teen fathers. Social evaluations were generally unrelated to respondents' sex or race, but respondents who had contact with a friend or family member who had experienced a teen pregnancy were selectively more positive, as were freshmen compared to seniors. Risks attributed to early childbearing may be exacerbated by negative social evaluations.