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parkrun attracts nonwalkers/runners and population groups hard to engage in physical activity. Individual- and social-level factors were associated with higher relative parkrun participation. parkrun's scalability, accessibility, and wide appeal confers a research imperative to investigate its potential for public health gain.

Background: Disease modifying therapy (DMT) efficacy trials make an essential contribution to the development of evidence-based clinical treatments and practices for people with multiple sclerosis (MS). Meta-analysis is a critical part of this process and provides a powerful tool to assess the effects of DMT on MS progression. However, although there have been several meta-analyses on the effect of DMT on MS disease progression, they often do not reach the same conclusions.Objective: Our aim was to better understand and contextualize the results of meta-analyses evaluating DMT, identify differences in methodology that might explain their differing conclusions, and highlight areas for future research that will improve our ability to develop clinical recommendations.Methods: We conducted an overview of systematic reviews with meta-analyses assessing the efficacy of DMT on disability progression in people with MS in PubMed (Medline) and the Cochrane Database of Systematic Reviews.Results: We included 22 meta-analyses in this overview: eight general (on >3 DMT), 11 specific (on ≤3 DMT), 2 that evaluated subsets, and 1 that evaluated long-term effects. We found that there is good evidence that DMT improve short-term (≤2–3 years) disability progression outcomes relative to placebo in people with relapsing-remitting MS. However, results varied substantially between meta-analyses, and there is little evidence of their efficacy in other populations or over longer periods. The relative effects of individual DMT also remain unclear. The variance in results between meta-analyses may be related to the substantial differences in inclusion criteria, which was reflected in the limited overlap in included studies, as well as the year of meta-analysis publication. Of the 123 total unique studies included in the general meta-analyses, 77 (62.6%) were included in only one meta-analysis. This incongruence was also evident in the included DMT. Six of the 16 (37.5%) DMT evaluated in the general meta-analyses were only included in one meta-analysis.Conclusions: Translating DMT efficacy studies into evidence-based clinical practice requires greater methodological consistency in meta-analyses, more data on the relative effects of DMT through head-to-head clinical trials, and better reporting of adverse events.

Summary Landscape composition affects local arthropod biodiversity, including herbivorous insects and their predators, yet to date landscape effects on insect‐vectored plant diseases have received little attention. Here, we examine how landscape composition affects the prevalence of a viral pathogen in host plants, and the role the arthropod vector assemblage plays in mediating landscape effects. We measured the effect of landscape composition (measured as percentage of cropland and unmanaged land) on the plant virus Potato virus Y (PVY), its aphid vectors, and their coccinellid predators during the 2012 and 2013 field seasons at 19–21 farms. In both years, we found a positive relationship between final virus prevalence and percentage of cropland within 500, 1000 and 1500 m surrounding study sites. Percentage of cropland also had a significant negative effect on aphid species richness, and the aphid community composition in turn affected PVY prevalence. By contrast, landscape composition had no measurable effect on coccinellid abundance or species richness in this study. Synthesis and applications. Our work demonstrates that landscape composition plays an important role in vector‐borne pathogen spread, and that pathogen spread appears to be mediated by the effects of the landscape on the insect vector community. The small spatial scale (≤1500 m) of the effects seen in our study indicates that on‐farm management practices have the potential to reduce virus prevalence on small‐scale farms. Farmers may be able to reduce Potato virus Y prevalence by on‐farm diversification, by isolating potato fields from other agricultural crops, and by not using saved potato seed.

Objective: Systematically review the evaluation and impact of online health education interventions: assess approaches used, summarize main findings, and identify knowledge gaps. Data Source: We searched the following databases: EMBASE, ERIC, MEDLINE, and Web of Science. Study Inclusion and Exclusion Criteria: Studies were included if (a) published in English between 2010-2020 in a peer-reviewed journal (b) reported an online health education intervention aimed at consumers, caregivers, and the public (c) evaluated implementation OR participant outcomes (d) included ≥ 100 participants per study arm. Data Extraction: Two authors extracted data using a standardized form. Data Synthesis: Data synthesis was structured around the primary outcomes of the included studies. Results: 26 studies met the inclusion criteria. We found substantial heterogeneity in study population, design, intervention, and primary outcomes, and significant methodological issues that resulted in moderate to high risk of bias. Overall, interventions that were available to all (e.g., on YouTube) consistently attained a large global reach, and knowledge was consistently improved. However, the impact on other outcomes of interest (e.g., health literacy, health behaviors) remains unclear. Conclusion: Evidence around the impacts of the type of online health education interventions assessed in this review is sparse. A greater understanding of who online interventions work for and what outcomes can be achieved is crucial to determine, and potentially expand, their place in health education.