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Abstract Dispersal is central to the ecology and evolution of spatially structured communities. While flower microbial communities are spatially structured among floral organs, how dispersal vectors distribute microbes among floral organs is unknown. Pollinators are recognized as key microbial vectors, but effects of their different foraging behaviors on transfer dynamics among flowers or different floral organs are not known. We asked how foraging behaviors of a model pollinator (Bombus impatiens) affect acquisition and dispersal of microbes among flower organs. We used monkeyflowers (Mimulus guttatus) to examine dispersal within a natural context and artificial flowers to test how common bee foraging behaviors (nectaring, buzzing, or scrabbling) shaped dispersal of a green fluorescent protein‐labeled bacteria, Pseudomonas fluorescens. Bees acquired 1% of a flower's microbes and dispersed 31% of acquired microbes to the next flower. All bees acquired microbes, and 85% and 76% of bees dispersed microbes to live and artificial flowers, respectively. Microbes acquired from the corolla were mainly deposited on the corolla, followed by the stamens, and least on the nectary/pistil. Bee foraging behavior affected acquisition, with scrabbling for pollen resulting in 23% more microbes acquired than nectaring, and with buzzing for pollen resulting in a 79% slower rate of microbial acquisition relative to scrabbling. Bee foraging behavior also affected deposition but depended on the floral organ: Scrabbling and buzzing for pollen led to greater deposition than nectaring for corolla and stamen but not nectary. Our results have implications for transmission of beneficial and pathogenic microbes among plants and pollinators, and thus the ecology and evolution of floral microbial communities.

Background: Physical activity is associated with improved health outcomes in many populations. It is assumed that physical activity levels in the rheumatoid arthritis (RA) population may be reduced as a result of symptoms of the disease. The objective of this review is to establish the current evidence base for levels of physical activity in the RA population. Methods: A systematic review was performed of 7 databases (Emabase, MEDLINE, AMED, Biomedical Reference Collection Expanded, CINAHL, Nursing and Allied Health Collection, and SportsDiscus) up to February 2011 to examine the evidence in the area. Results: One hundred and thirty-six studies were identified through electronic searching. One hundred and six were excluded based on title and/or abstract analysis and a further 14 were excluded based on full text analysis. Sixteen studies meeting the criteria were deemed suitable for inclusion. The results of the included studies indicate that the level of physical activity may be lower among individuals with RA when compared with healthy controls or normative data. Conclusions: There are a number of methodological considerations at play within the studies reviewed which prohibits definitive conclusion on the physical activity levels of this population group. Given the known health benefits of physical activity, further research in this area appears indicated. [ABSTRACT FROM AUTHOR]

Competing Interests: Competing interests: None declared.

Aims: To examine the clinical outcomes of screening for gestational diabetes mellitus (GDM) in primary care versus secondary care, in the Irish healthcare system., Design and Methods: A parallel group randomised controlled trial (RCT) of screening for GDM in primary versus secondary care was used to examine (i) prevalence, (ii) gestational week of screen, (iii) time to access specialist care, and (iv) maternal and neonatal outcomes. In total 781 women were recruited for screening in primary care (n=391) or secondary care (n=390)., Results: The prevalence of GDM and gestational week of screen were similar in both locations. There was a trend towards a longer time to access diabetes care in primary care (24days) versus secondary care (19days), a difference of 5days (p=0.09). Women screened in primary care also showed a trend towards a higher rate of large for gestational age (LGA) infants (20%) than those screened in secondary care (14.7%), (p=0.09). There were no differences between groups in maternal outcomes., Conclusions: This RCT suggests that screening for GDM in secondary care may be associated with potentially faster time to access specialist antenatal diabetes care and possibly lower LGA rates. Further research is needed to clarify these findings and to improve the delay in accessing specialist care requires an urgent focus. Further research is needed to test these findings in other health systems., (Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.)

Objective: To evaluate a 12-week group-based lifestyle intervention programme for women with prediabetes following gestational diabetes (GDM)., Design: A two-group, mixed methods randomized controlled trial in which 50 women with a history of GDM and abnormal glucose tolerance postpartum were randomly assigned to intervention (n = 24) or wait control (n = 26) and postintervention qualitative interviews with participants., Main Outcome Measures: Modifiable biochemical, anthropometric, behavioural, and psychosocial risk factors associated with the development of type 2 diabetes. The primary outcome variable was the change in fasting plasma glucose (FPG) from study entry to one-year follow-up., Results: At one-year follow-up, the intervention group showed significant improvements over the wait control group on stress, diet self-efficacy, and quality of life. There was no evidence of an effect of the intervention on measures of biochemistry or anthropometry; the effect on one health behaviour, diet adherence, was close to significance., Conclusions: Prevention programmes must tackle the barriers to participation faced by this population; home-based interventions should be investigated. Strategies for promoting long-term health self-management need to be developed and tested.

In rheumatoid arthritis (RA) it is believed that symptoms associated with the progression of the disease result in a reduction in the physical activity level of the patient. One of the key flaws of the research surrounding this hypothesis to date is the use of non-validated physical activity outcomes measures. In this study, an algorithm to estimate physical activity levels in patients as they perform a simulated protocol of typical activities of daily living using SHIMMER kinematic sensors, incorporating tri-axial gyroscopes and accelerometers, is proposed. The results are validated against simultaneously recorded energy expenditure data and the defined activity protocol and demonstrate that SHIMMER can be used to accurately estimate physical activity levels in RA populations.