Epigenetic modifications, including DNA methylation, represent a potential mechanism for environmental impacts on human disease. Maternal smoking in pregnancy remains an important public health problem that impacts child health in a myriad of ways and has potential lifelong consequences. The mechanisms are largely unknown, but epigenetics most likely plays a role. We formed the Pregnancy And Childhood Epigenetics (PACE) consortium and meta-analyzed, across 13 cohorts (n = 6,685), the association between maternal smoking in pregnancy and newborn blood DNA methylation at over 450,000 CpG sites (CpGs) by using the Illumina 450K BeadChip. Over 6,000 CpGs were differentially methylated in relation to maternal smoking at genome-wide statistical significance (false discovery rate, 5%), including 2,965 CpGs corresponding to 2,017 genes not previously related to smoking and methylation in either newborns or adults. Several genes are relevant to diseases that can be caused by maternal smoking (e.g., orofacial clefts and asthma) or adult smoking (e.g., certain cancers). A number of differentially methylated CpGs were associated with gene expression. We observed enrichment in pathways and processes critical to development. In older children (5 cohorts, n = 3,187), 100% of CpGs gave at least nominal levels of significance, far more than expected by chance (p value < 2.2 × 10(-16)). Results were robust to different normalization methods used across studies and cell type adjustment. In this large scale meta-analysis of methylation data, we identified numerous loci involved in response to maternal smoking in pregnancy with persistence into later childhood and provide insights into mechanisms underlying effects of this important exposure.

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These findings suggest that the decision rules employed to process accelerometer data have a significant impact on important outcome variables. Until guidelines are developed, it will remain difficult to compare findings across studies.

Background: This study assessed psychosocial predictors of U.S. adults' willingness to get a future COVID-19 vaccine and whether these predictors differ under an emergency use authorization (EUA) release of the vaccine. Methods: A survey of 788 U.S. adults was conducted to explore the relationships between demographics and psychosocial predictors of intent to get a future COVID-19 vaccine as well as willingness to get such a vaccine under EUA. Results: Significant predictors of COVID-19 vaccine uptake intentions were education, having insurance, scoring high on subjective norms, a positive attitude toward the vaccine, as well as high perceived susceptibility to COVID-19, high perceived benefits of the vaccine, scoring low on barriers to the vaccine, and scoring high on self-efficacy. Predictors of willingness to take a COVID-19 vaccine under EUA were age, race/ethnicity, positive subjective norms, high perceived behavioral control, positive attitudes toward the vaccine, as well as high perceived susceptibility to COVID-19, high perceived benefits of the vaccine, low barriers to the vaccine, and scoring high on self-efficacy for getting the vaccine. Concerns about rushed vaccine development appear to reduce vaccine uptake intent, as well as willingness to get the vaccine under EUA. Conclusions: COVID-19 vaccine-related messages should both address concerns about the vaccine and its development and reinforce benefits of the vaccine (both factors significant in both models). Vaccine efforts may need to go beyond just communications campaigns correcting misinformation about a COVID-19 vaccine to also focus on re-establishing public trust in government agencies.

Self-reported ADHD symptoms were found to be associated with adult smoking outcome variables in this nationally representative sample, providing further evidence of a likely link between ADHD symptoms and risk for tobacco use.