Trajectories of self-management and independence in youth with spina bifida: Family-related predictors of growth.

The purpose of this study was to assess family-related predictors of self-management trajectories in youth with spina bifida (SB). Participants with SB completed the Adolescent/Young Adult Self-Management and Independence Scale (AMIS II) interview across four time points. Family functioning, family-related stress, and perceived family support were assessed by multiple reporters and multiple methods. Growth in AMIS II total self-management and the AMIS II subscales (Condition and Independent Living) were estimated using linear mixed effect models as a function of family factors, after controlling for socio-demographic, condition-related, and neuropsychological variables that had been found to be significant predictors of self-management in prior studies. Model fit and parsimony were assessed using Akaike's information criterion (AIC). This diverse community sample included 99 respondents aged 18-27 years old. About half were female (52.5%) and White (52.5%); 15.2% were Black, and 32.3% were Hispanic/Latino. Observed family cohesion at baseline was associated with all self-management scales at age 18 (all p < 0.05). Growth in self-management was associated with parent-reported number of family stress events. For growth in total self-management, the best model included age, race/ethnicity, family income, shunt status, lesion level, neuropsychological function, observed family cohesion, and an age-by-number of family stress events interaction effect. The study findings suggested that family factors were important predictors of self-management trajectories, even after controlling for socio-demographic, condition-related, and neuropsychological covariates. Risk and protective factors identified in families of youth with SB can inform family-focused interventions for self-management.

A Psychosocial Care Model for Families Affected by Congenital Heart Disease.

OBJECTIVES: To develop a model of family-based psychosocial care for congenital heart disease (CHD). DESIGN: Qualitative study using crowdsourced data collected from parents of young children with CHD who received care across 42 hospitals. SETTING: Yammer, a social networking platform used to facilitate online crowdsourcing and qualitative data collection. SUBJECTS: Geographically diverse sample of 100 parents (72 mothers and 28 fathers) of young children with CHD. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: Parents joined a private group on Yammer and responded to 37 open-ended study questions over a 6-month period. Qualitative data were coded and analyzed using an iterative process. Three broad themes corresponding to pillars of family-based psychosocial care were identified: pillar 1) parent partnership in family-integrated medical care, pillar 2) supportive interactions focused on parent and family wellbeing, and pillar 3) integrated psychosocial care and peer support for parents and families. Each pillar was supported by subthemes corresponding to specific intervention strategies. Most parents described the need for intervention strategies across multiple pillars, with almost half reporting needs across all three pillars of psychosocial care. Parents' preferences for psychosocial support changed over time with changes to their child's medical status and across care settings (e.g., hospital, outpatient clinic). CONCLUSIONS: Results support a model of family-based psychosocial care that is multidimensional and flexible to meet the needs of families affected by CHD. All members of the healthcare team play an important role in providing psychosocial support. Future research incorporating components of implementation science is needed to promote uptake of these findings, with the goal of optimizing family-based psychosocial support in the hospital setting and beyond.

Combined Treatment for Obesity and Depression: A Pilot Study.

OBJECTIVE: Obesity and depression frequently co-occur, and each increases risk for cardiovascular disease (CVD). This study tested whether a combined treatment, targeting obesity and depression simultaneously, would yield greater improvements in weight, mood, and CVD risk factors than treatments that targeted each disease individually. METHODS: Seventy-six participants with obesity and major depression were randomly assigned to (1) behavioral weight control (BWC), (2) cognitive behavioral therapy for depression (CBT-D), or (3) BWC combined with CBT-D. Participants were provided 18 group treatment sessions over 20 weeks. Mood, weight, and CVD risk were assessed at baseline and weeks 8 and 20, with a follow-up visit at week 46. RESULTS: At week 20, participants in combined treatment lost significantly (P < 0.02) more weight (5.2% ± 1.2%) than those assigned to CBT-D (0.8% ± 1.3%) and comparable amounts as those in BWC (3.5% ± 1.3%). Depression scores decreased significantly from baseline levels in each group, with no significant differences between groups. All three groups showed significant improvements in 10-year CVD risk, with no significant differences between groups. Groups did not differ significantly on any of these measures at week 46. CONCLUSIONS: BWC yielded short-term improvements in weight, mood, and CVD risk, comparable to a combined treatment that incorporated CBT-D. Results require replication with a larger sample size.