This study investigated patterns of motor brain activation, white matter (WM) integrity of inter- and intrahemispheric connectivity and their associations with hand function in children with unilateral cerebral palsy (CP-U). Fourteen CP-U (mean age 10.6 ± 2.7 years) and 14 typically developing children (TDC) underwent magnetic resonance imaging. CP-U underwent extensive motor evaluation. Pattern of brain activation during a motor task was studied in 12 CP-U and six TDC, by calculating laterality index (LI) and percent activation in the sensorimotor areas (around the central sulcus), and quantifying the activation in the supplementary motor area (SMA). Diffusivity parameters were measured in CP-U and eight other TDC for the corpus callosum (CC), affected and less affected cortico-spinal tracts (CST), and posterior limb of the internal capsule (PLIC). Abnormal patterns of brain activation were detected in areas around the central sulcus in 9/12 CP-U, with bilateral activation and/or reduced percent activation. More activation in areas around the central sulcus of the affected hemisphere was associated with better hand function. CP-U demonstrated more activation in the SMA when moving the affected hand compared to the less affected hand. CP-U displayed reduced WM integrity compared to TDC, in the midbody and splenium of the CC, affected CST and affected PLIC. WM integrity in these tracts was correlated with hand function. While abnormal pattern of brain activation was detected mainly when moving the affected hand, the integrity of the CC was correlated with function of both hands and bimanual skills. This study highlights the importance of interhemispheric connectivity for hand function in CP-U, which may have clinical implications regarding prognosis and management.

Introduction: Smoke-free homes can help protect children from tobacco smoke exposure (TSE). The objective of this study was to conduct a meta-analysis to quantify effects of interventions on changes in tobacco smoke pollution in the home, as measured by air nicotine and particulate matter (PM). Methods: We searched MEDLINE, PubMed, Web of Science, PsycINFO, and Embase. We included controlled trials of interventions which aimed to help parents protect children from tobacco smoke exposure. Two reviewers identified relevant studies, and three reviewers extracted data. Results: Seven studies were identified. Interventions improved tobacco smoke air pollution in homes as assessed by nicotine or PM. (6 studies, N = 681, p = 0.02). Analyses of air nicotine and PM separately also showed some benefit (Air nicotine: 4 studies, N = 421, p = 0.08; PM: 3 studies, N = 340, p = 0.02). Despite improvements, tobacco smoke pollution was present in homes in all studies at follow-up. Conclusions: Interventions designed to protect children from tobacco smoke are effective in reducing tobacco smoke pollution (as assessed by air nicotine or PM) in homes, but contamination remains. The persistence of significant pollution levels in homes after individual level intervention may signal the need for other population and regulatory measures to help reduce and eliminate childhood tobacco smoke exposure.

BACKGROUND AND OBJECTIVE: Worldwide, roughly 40% of children are exposed to the damaging and sometimes deadly effects of tobacco smoke. Interventions aimed at reducing child tobacco smoke exposure (TSE) have shown mixed results. The objective of this study was to perform a systematic review and meta-analysis to quantify effects of interventions aimed at decreasing child TSE.METHODS: Data sources included Medline, PubMed, Web of Science, PsycNet, and Embase. Controlled trials that included parents of young children were selected. Two reviewers extracted TSE data, as assessed by parentally-reported exposure or protection (PREP) and biomarkers. Risk ratios and differences were calculated by using the DerSimonian and Laird random-effects model. Exploratory subgroup analyses were performed.RESULTS: Thirty studies were included. Improvements were observed from baseline to follow-up for parentally-reported and biomarker data in most intervention and control groups. Interventions demonstrated evidence of small benefit to intervention participants at follow-up (PREP: 17 studies, n = 6820, relative risk 1.12, confidence interval [CI] 1.07 to 1.18], P , .0001). Seven percent more children were protected in intervention groups relative to control groups. Intervention parents smoked fewer cigarettes around children at follow-up than did control parents (P = .03). Biomarkers (13 studies, n = 2601) at follow-up suggested lower child exposure among intervention participants (RD 20.05, CI 20.13 to 0.03, P = .20).CONCLUSIONS: Interventions to prevent child TSE are moderately beneficial at the individual level. Widespread child TSE suggests potential for significant population impact. More research is needed to improve intervention effectiveness and child TSE measurement. KEY WORDS secondhand smoke exposure, tobacco smoke exposure, metaanalysis, systematic review, child ABBREVIATIONS CCR-cotinine/creatinine ratio CI-confidence interval CT-controlled trial PREP-parentally reported exposure or protection RCT-randomized controlled trial RD-relative difference RR-relative risk SHS-secondhand smoke THS-thirdhand smoke TSE-tobacco smoke exposure Dr Rosen conceptualized and designed the study, oversaw all aspects of the research, performed the systematic review of the literature, extracted data from the original studies, contributed to the statistical analysis, wrote sections of the manuscript, and edited the entire manuscript; Ms Myers contributed to systematically reviewing the literature, extracted data from the original articles, contributed to the data analysis, and contributed to the writing of the manuscript; Dr Hovell contributed to the design of the meta-analysis and interpretation of the data and edited the manuscript for scientific content; Dr Zucker assisted with various statistical issues in the analysis of the manuscript and edited the manuscript; Ms Ben Noach contributed to the design of the study, the systematic review of the literature, data extraction, data analysis, data interpretation, and writing of the m...

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Determinants of smoking cessation after MI are multifactorial and include demographic, socioeconomic, smoking behaviour, clinical and psychosocial measures. Post-MI hospitalization is a window of opportunity for smoking cessation interventions. Patients should be assessed for psychosocial characteristics and those with low sense of coherence and high depression should be provided with targeted help to quit.