We tested if an adjunctive sleep health (SH) intervention improved smoking cessation treatment response by increasing quit rates. We also examined if baseline sleep, and improvements in sleep in the first weeks of quitting, were associated with quitting at the end of treatment.

Treatment-seeking smokers (N = 29) aged 21–65 years were randomized to a SH intervention (n = 16), or general health (GH) control (n = 13) condition. Participants received six counseling sessions across 15-weeks: SH received smoking cessation + SH counseling; GH received smoking cessation + GH counseling. Counseling began 4-weeks before the target quit date (TQD), and varenicline treatment began 1-week prior to TQD. Smoking status and SH were assessed at baseline (week 1), TQD (week 4), 3 weeks after cessation (week 7), week 12, and at the end of treatment (EOT; week 15).

SH versus GH participants had higher Carbon Monoxide (CO) -verified, 7-day point prevalence abstinence at EOT (69% vs. 54%, respectively; adjusted odds ratio (aOR) = 2.10, 95% confidence interval (CI) = 0.40–10.69, P = 0.77). Higher baseline sleep efficiency (aOR = 1.42, 95% CI = 1.03–1.96, P = 0.03), predicted higher EOT cessation. Models were adjusted for age, sex, education, and baseline nicotine dependence.

Improving SH in treatment-seeking smokers prior to cessation warrants further examination as a viable strategy to promote cessation.

Child maltreatment is a significant public health issue in the United States. Yet, fewer than half of pediatricians discuss behavioral, developmental, or parenting issues with parents.

This paper describes the testing of bundles of tools and processes, part of a larger intervention, Practicing Safety, targeted at changing physician and staff behavior to identify families at risk for child maltreatment, provide anticipatory guidance, refer to community resources, and follow-up and track at-risk families. The intervention was implemented with 14 pediatric primary care practices throughout the United States; the study was completed in 2011.

A within-subjects repeated measures pre-post follow-up design was used to evaluate the intervention. Baseline and repeated measurements of pediatric practices’ processes were collected using qualitative and quantitative methods. In total, 14 core improvement teams from across the country tested three bundles of tools (maternal, infant, toddler) within a quality improvement framework over seven months.

Quantitative results showed statistically significant adoption of tools and processes and enhancement of practice behaviors and office environmental supports. The increase in tool use was immediate and was sustained for six months after implementation. Qualitative data provided insight as to how meaningful the intervention was to the core improvement teams, especially with more complicated behaviors (eg, engaging social workers or community agencies for referrals). Barriers included lack of community resources. Findings showed unanticipated outcomes such as helping practices to become medical homes.

Lessons learned included that practices appreciate and can adopt brief interventions that have meaningful and useful tools and process to enhance psychosocial care for children 0–3 and that do not place a burden on pediatric practice. An innovative, quality improvement strategy, intuitive to pediatricians, with a brief intervention may help prevent child maltreatment.

Poor diet quality contributes to morbidity, including poor brain health outcomes such as cognitive decline and dementia. African Americans and individuals living in poverty may be at greater risk for cognitive decrements from poor diet quality.

Cross-sectional.

Baltimore, MD, USA.

Participants were 2090 African Americans and Whites (57 % female, mean age=47·9 years) who completed two 24 h dietary recalls. We examined cognitive performance and potential interactions of diet quality with race and poverty status using baseline data from the Healthy Aging in Neighborhoods of Diversity across the Life Span (HANDLS) study. Healthy Eating Index-2010 (HEI-2010) scores were calculated and interpreted using federal guidelines. A neurocognitive test battery was administered to evaluate cognitive function over several domains.

Linear regression analyses showed that lower HEI-2010 scores were associated with poorer verbal learning and memory (P<0·05) after adjustment for covariates. Diet quality within the sample was poor. Significant interactions of HEI-2010 and poverty status (all P<0·05) indicated that higher diet quality was associated with higher performance on tests of attention and cognitive flexibility, visuospatial ability and perceptual speed among those below the poverty line. No significant race interactions emerged. Higher diet quality was associated with better performance on two measures of verbal learning and memory, irrespective of race and poverty status.

Findings suggest that diet quality and cognitive function are likely related at the population level. Future research is needed to determine whether the association is clinically significant.