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Both schools and caregivers play an important role in supporting children's mental health, but there are few mechanisms for caregivers and school-based mental health providers to work collaboratively to address children's needs. Closures of schools during the first wave of the COVID-19 pandemic left gaps in mental health support services to children and increased the burden on caregivers to ensure their children's well-being. In this study, investigators explored the feasibility and acceptability of a motivational interviewing-based program in which school-based mental health providers were trained to connect directly to caregivers to assist them in supporting key aspects of their children's well-being, including sleep, coping, and academic behavior. Results indicated a high degree of satisfaction with the program and a perception that it was helpful to caregivers and children. However, major challenges in recruitment of providers, as well as qualitative interviews with those providers who participated, indicated that the feasibility of implementing such a program is limited without significant additional implementation infrastructure. Findings suggest that structured support of caregivers, accessed through their children's schools, has high potential for improving child outcomes and family well-being. Future research should explore what implementation infrastructure is needed for schools to effectively offer these types of supports.

Interest in using internet search data, such as that from the Google Health Trends Application Programming Interface (GHT-API), to measure epidemiologically relevant exposures or health outcomes is growing due to their accessibility and timeliness. Researchers enter search term(s), geography, and time period, and the GHT-API returns a scaled probability of that search term, given all searches within the specified geographic-time period. In this study, we detailed a method for using these data to measure a construct of interest in 5 iterative steps: first, identify phrases the target population may use to search for the construct of interest; second, refine candidate search phrases with incognito Google searches to improve sensitivity and specificity; third, craft the GHT-API search term(s) by combining the refined phrases; fourth, test search volume and choose geographic and temporal scales; and fifth, retrieve and average multiple samples to stabilize estimates and address missingness. An optional sixth step involves accounting for changes in total search volume by normalizing. We present a case study examining weekly state-level child abuse searches in the United States during the coronavirus disease 2019 pandemic (January 2018 to August 2020) as an application of this method and describe limitations.

The COVID-19 pandemic has led to unemployment, school closures, movement restrictions, and social isolation, all of which are child abuse risk factors. Our objective was to estimate the effect of COVID-19 shelter in place (SIP) policies on child abuse as captured by Google searches. We applied a differences-in-differences design to estimate the effect of SIP on child abuse search volume. We linked state-level SIP policies to outcome data from the Google Health Trends Application Programming Interface. The outcome was searches for child abuse-related phrases as a scaled proportion of total searches for each state-week between December 31, 2017 and June 14, 2020. Between 914 and 1512 phrases were included for each abuse subdomain (physical, sexual, and emotional). Eight states and DC were excluded because of suppressed outcome data. Of the remaining states, 38 introduced a SIP policy between March 19, 2020 and April 7, 2020 and 4 states did not. The introduction of SIP generally led to no change, except for a slight reduction in child abuse search volume in weeks 8-10 post-SIP introduction, net of changes experienced by states that did not introduce SIP at the same time. We did not find strong evidence for an effect of SIP on child abuse searches. However, an increase in total search volume during the pandemic that may be differential between states with and without SIP policies could have biased these findings. Future work should examine the effect of SIP at the individual and population level using other data sources.

Objective: To evaluate female students' expectations and experiences related to their sexual and reproductive health (SRH) during international travel. Participants: Female students from a US university with a history of sex with men completed a cross-sectional survey about their upcoming (Pre-travelers; n = 170) or recent (Travelers; n = 340) international travel. Methods: Descriptive statistics were used to characterize pre-travel SRH expectations (for Pre-travelers) and to determine the prevalence of 15 SRH experiences during both recent and lifetime travel (for Travelers). Results: Pre-travelers overwhelmingly expected to be abstinent and many were unsure of whether SRH supplies would be accessible in their destination. During Travelers' recent trip, SRH experiences included getting off schedule with contraception (30%), unwanted sexual touching (18%), new male sex partners (17%), and unexpected sex (15%); lifetime prevalence estimates were higher. Conclusions: International travel poses risks to female students' SRH that can be addressed by pre-travel counseling from study-abroad programs and clinicians.

Transforming Growth Factor-β (TGF-β) can have both tumour-promoting and tumour-suppressing activity in breast cancer. Elucidating the key downstream mediators of pro-tumorigenic TGF-β signalling in this context could potentially give rise to new therapeutic opportunities and/or identify biomarkers for anti-TGF-β directed therapy. Here, we identify C1orf106 (also known as innate immunity activator INAVA) as a novel TGF-β target gene which is induced in a SMAD3-dependent but SMAD2/SMAD4-independent manner in human and murine cell lines. C1orf106 expression positively correlates with tumourigenic or metastatic potential in human and murine breast cancer cell line models, respectively, and is required for enhanced migration and invasion in response to TGF-β stimulation. C1orf106 promoted self-renewal and colony formation in vitro and may promote tumour-initiating frequency in vivo. High C1orf106 mRNA expression correlates with markers of aggressiveness and poor prognosis in human breast cancer. Taken together, our findings indicate that C1orf106 may act as a tumour promoter in breast cancer. [ABSTRACT FROM AUTHOR]

Objectives Urban, low-income, African American children and parents report lower quality primary care and face negative social determinants of health. High-quality well-child care is critical for this population. The purpose of this qualitative study was to compare and contrast parent and health care provider experiences of well-child care for urban, low-income, African American families to better understand the complex factors involved in care quality and health outcomes. Methods Two data sets were analyzed using conventional content analysis, parent focus group data, and provider interviews. After analysis, results were sorted into similar categories, and convergence coding was completed to identify areas of agreement, partial agreement, dissonance, and silence. Results Thirty-five parents took part in four focus groups, and nine providers were interviewed. Following convergence coding, five categories and 31 subcategories were identified. The five categories included: social determinants of health, sources of advice and support, challenges with the healthcare system, parent-provider relationships, and anticipatory guidance topics. Conclusions for Practice Triangulation demonstrated convergence between parents and providers understanding of the concepts and functions of well-child care, however the prominence and meaning varied within each category and sub-category. The variance in agreement, areas of silence, and dissonance shed light on why the population reports lower overall quality primary care., Author(s): Kara S. Koschmann [sup.1] , Cynthia J. Peden-McAlpine [sup.2] , Mary Chesney [sup.2] , Susan M. Mason [sup.3] , Mary C. Hooke [sup.2] Author Affiliations: (1) grid.264041.5, 0000 0000 [...]