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Introduction: Heavy alcohol use and alcohol use disorder (AUD) continues to rise as a public health problem and increases the risk for disease. Elevated rates of anxiety, depression, sleep disruption and stress are associated with alcohol use. Symptoms may progress to diagnosed neurophysiological conditions and increase risk for relapse if abstinence is attempted. Research on mechanisms connecting the gastrointestinal microbiome to neuropsychological disorders through the gut-brain axis is well-established. Less is known how the oral microbiome and oral microbial-associated biomarkers may signal to the brain. Therefore, a synthesis of research studying relationships between alcohol intake, alcohol-associated neurophysiological symptoms and the oral microbiome is needed to understand the state of the current science. In this paper, we outline our protocol to collect, evaluate and synthesise research focused on associations between alcohol intake and AUD-related neuropsychological disorders with the oral microbiome., Methods and Analysis: The search strategy was developed and will be executed in collaboration with a medical research librarian. Studies will be screened by two independent investigators according to the aim of the scoping review, along with the outlined exclusion and inclusion criteria. After screening, data will be extracted and synthesised from the included papers according to predefined demographic, clinical and microbiome methodology metrics., Ethics and Dissemination: A scoping review of primary sources is needed to synthesise the data on relationships between alcohol use, neuropsychological conditions associated with AUD and the oral microbiome. The proposed scoping review is based on the data from publicly available databases and does not require ethical approval. We expect the results of this synthesis will identify gaps in the growing literature and highlight potential mechanisms linking the oral-brain axis to addiction and other associated neuropsychological conditions. The study findings and results will be disseminated through journals and conferences related to psychology, neuroscience, dentistry and the microbiome., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Introduction: The connection of the microbiome to human health intersects with the physical environment of humans. Each microbiome location can be influenced by environmental conditions that relate to specific geographical locations, which in turn are influenced by social determinants of health such as a neighbourhood. The objective of this scoping review is to explore the current evidence on the relationships between microbiome and neighbourhood to explain microbiome-related health outcomes., Methods and Analysis: Arksey and O'Malley's literature review framework will be employed throughout the process, as well as Page, et al 's 2020 Preferred Reporting Items for Systematic Review and Meta-Analysis updated workflow to process search results. The literature search will be completed using PubMed/Medline (NLM), Embase (Elsevier), Web of Science, Core Collection (Clarivate Analytics), Scopus (Elsevier), medRxiv preprint server and Open Science Framework server. The search will be conducted using a list of pre-identified Medical Subject Headings (MeSH) terms relating to neighbourhood, microbiome and individual characteristics. There will be no date or language restrictions used in the search. In order to be included in the study, a piece must include an evaluation of the relationship between microbiome diversity and neighbourhood (including at least one measurement of the neighbourhood and at least one human microbiome site). Excluded from the review will be those works that do not include all of these measures, literature reviews based on secondary sources and postmortem populations with no report of premortem health factors. The review itself will be an iterative process completed by two reviewers, with a third individual identified to break ties. Documents will be undergoing a risk assessment of bias in order for the authors to comment on the quality of the literature in this area. Finally, results will be discussed with identified stakeholders, including individuals connected to neighbourhoods facing structural inequity and experts in the topics of study through a community advisory board, for their feedback and knowledge transfer., Ethics and Dissemination: This review does not require ethical approval. Results of this search will be disseminated through peer-reviewed publications. Furthermore, this work is completed in conjunction with a community advisory board so as to ensure dissemination to multiple stakeholders., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Introduction: Although physical activity (PA) reduces cardiovascular disease (CVD) risk, physical inactivity remains a pressing public health concern, especially among African American (AA) women in the USA. PA interventions focused on AA women living in resource-limited communities with scarce PA infrastructure are needed. Mobile health (mHealth) technology can increase access to PA interventions. We describe the development of a clinical protocol for a multilevel, community-based, mHealth PA intervention for AA women., Methods and Analysis: An mHealth intervention targeting AA women living in resource-limited Washington, DC communities was developed based on the socioecological framework for PA. Over 6 months, we will use a Sequential Multi-Assignment, Randomized Trial approach to compare the effects on PA of location-based remote messaging (named 'tailored-to-place') to standard remote messaging in an mHealth intervention. Participants will be randomised to a remote messaging intervention for 3 months, at which point the intervention strategy will adapt based on individuals' PA levels. Those who do not meet the PA goal will be rerandomised to more intensive treatment. Participants will be followed for another 3 months to determine the contribution of each mHealth intervention to PA level. This protocol will use novel statistical approaches to account for the adaptive strategy. Finally, effects of PA changes on CVD risk biomarkers will be characterised., Ethics and Dissemination: This protocol has been developed in partnership with a Washington, DC-area community advisory board to ensure feasibility and acceptability to community members. The National Institutes of Health Intramural IRB approved this research and the National Heart, Lung, and Blood Institute provided funding. Once published, results of this work will be disseminated to community members through presentations at community advisory board meetings and our quarterly newsletter., Trial Registration Number: NCT03288207., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)