Implications of Mothers' Social Networks for Risky Infant Sleep Practices.

OBJECTIVE: To describe the structure of networks in a cohort of mothers and to analyze associations of social network characteristics and norms with infant sleep practices. STUDY DESIGN: We recruited a prospective cohort of mothers with infants <6 months of age from January 2015 to December 2016. Mothers completed a survey about their personal social networks and infant care practices. Latent class analysis identified unobserved network types. Binary statistics and path analysis were performed. RESULTS: Overall, 402 mothers were surveyed. Latent class analysis identified 2 a priori unknown social network types: "exclusive" (restricted) and "expansive." Mothers who were black, younger, unmarried, less educated, and of lower socioeconomic status were more likely to have exclusive networks than expansive networks. Mothers with exclusive networks were more likely to be exposed to the norm of soft bedding (P = .002). Exposure to norms of non-supine infant placement, bedsharing, and soft bedding use within one's network was associated with engaging in these practices (P < .0001 for each). First-time mothers were more likely to pay attention to a non-supine norm and place infants in a non-supine position. Black mothers and first-time mothers were more likely to pay attention to the norm and use soft bedding. CONCLUSIONS: Both the type of networks mothers have and the norms regarding infant sleep practices that circulate within these networks differed by race. Network norms were strongly associated with infant sleep practices and may partially explain the racial disparity therein.

Executive Function and Psychosocial Quality of Life in School Age Children with Congenital Heart Disease.

OBJECTIVE: To test a model to predict psychosocial quality of life (QOL) in children with congenital heart disease (CHD) via executive dysfunction. STUDY DESIGN: Parents of 91 children with CHD requiring surgery in the first year of life completed questionnaires by mail or as part of their cardiology clinic visit. Latent class analysis identified 2 groups of patients with different likelihoods of executive dysfunction. Select medical and demographic characteristics and executive dysfunction group membership were evaluated as predictors of QOL using structural equation modeling. RESULTS: In children with CHD, aortic obstruction, male sex, and premature birth predicted worse executive function, explaining 59% of the variance. Structural equation modeling results indicated that executive dysfunction plays an important mediating role, through which CHD with aortic obstruction, male sex, and premature birth indirectly affect psychosocial QOL. Neurologic abnormalities and single-ventricle CHD did not significantly predict executive dysfunction or QOL. CONCLUSIONS: Executive dysfunction is a strong predictor of psychosocial QOL at school age. Select medical and demographic risk factors did not directly predict QOL at school age in CHD; however, aortic obstruction, premature birth, and male sex impacted QOL indirectly by contributing to executive dysfunction. These findings suggest important risk factors for executive dysfunction that can be monitored, allowing for provision of early supports for executive skills development in an effort to improve long term psychosocial QOL in at-risk children with CHD.