Understanding young adults’ online engagement and health experiences in the age of social media: exploring diabetes and common mental health disorders

Production and consumption of text, image and video content about both diabetes and common mental health disorders (CMHDs), by individuals and organisations, has become commonplace since the widespread adoption of social media. Despite the increasing importance of these online spaces for health-related discussion few studies have fully explored people’s experiences of drawing on social media content around either diabetes or CMHDs. The aim of this study was to explore the multiple ways young adults engage with health-related content online and develop an understanding of how social media are used for health information and communication. A further aim was to explore the areas of convergence and divergence between professional producers’ perspectives on online resources about diabetes and CMHDs and prospective users’ perspectives. To explore these issues, a qualitative study was developed. Forty young adults, aged between 18 and 30 years, and six professional producers took part in semi-structured interviews. The key findings of the study reflect the increasing prominence of health-related user-generated content online. While continued reliance on search-engines for locating relevant content was evident, some participants discussed accessing health-related content as part of their everyday social media activity. Further, participants’ perceptions and experiences of support from family, friends and formal health services appeared to relate to their online practices: those who described least supportive resources offline discussed engaging most actively in production and consumption of health-related user-generated content. Participants also discussed what limited their production of health-related content, suggesting that production of content related to diabetes or CMHDs could compromise their presentation of self online. Disjunctures were evident between the perspectives of producers and potential users, with producers prioritising dissemination of generic information and young adults emphasising the consumption of tailored content. The findings of the study suggest key opportunities for exploiting the potential of social media to engage with users but highlight potential barriers to some individuals’ engagement

Identifying Effective Behavior Change Techniques for Alcohol and Illicit Substance Use During Pregnancy: A Systematic Review.

Background: During pregnancy, consuming alcohol and using illicit drugs can have serious health implications for both mother and child. Behavioral change interventions, especially those underpinned by theoretical constructs, can be effective in reducing harmful substance use among pregnant women. Purpose: To understand what type of behavior change mechanisms could be useful in reducing alcohol consumption or achieving abstinence from illicit drug use during pregnancy, this review aimed to identify behavior change techniques (BCTs), the smallest, active components of interventions that may be effective. It also aimed to establish the extent that psychosocial-based theories were used to inform intervention design. Methods: To identify eligible randomized controlled trials (RCTs), five databases were searched electronically from the end search dates of the most recent Cochrane systematic reviews on behavioral interventions for each behavior, until March 2018. Within the RCTs, intervention descriptions were analyzed for BCT content and extent of theory use in the intervention design process and outcome measurements, in each trial, was established. "Effectiveness percentages," the number of times a BCT had been a component of an effective intervention divided by the total number of interventions it had been used in, were calculated for BCTs used in two or more trials. Results: Including all RCTs from the Cochrane reviews, and those published subsequently, nine alcohol and six illicit drug trials were identified. Interventions tested in four alcohol RCTs and no illicit drugs RCTs showed positive results. Subsequent data were extracted for alcohol consumption trials only. Thirteen BCTs showed "potential effectiveness" for alcohol consumption. Six of nine included alcohol trials reported using theory but not extensively. Conclusions: Action planning, behavioral contract, prompts/cues, self-talk, offer/direct toward written material, problem solving, feedback on behavior, social support (unspecified), information about health consequences, behavior substitution, assess current readiness and ability to reduce excess alcohol consumption, goal setting (behavior), and tailor interactions appropriately are BCTs that could be useful in helping reduce alcohol consumption among pregnant women

Introduction

LSNSs include a group of interconnected nodes and have attracted increasing attention from researchers due to its widespread applications in sensor networks, surveillance systems, intelligent transportation management systems, etc. The nodes in LSNSs exchange information through a communication graph, which is a time-varying graph or a time-invariant graph. Based on the communication topology, nodes in LSNSs are coupled, which give rise to a variety of collective complexities in the overall dynamical properties of LSNSs.Heather Brook, Deane Fergie, Michael Maeorg and Dee Michel

What young people want from health-related online resources: a focus group study

The growth of the Internet as an information source about health, particularly amongst young people, is well established. The aim of this study was to explore young people's perceptions and experiences of engaging with health-related online content, particularly through social media websites. Between February and July 2011 nine focus groups were facilitated across Scotland with young people aged between 14 and 18 years. Health-related user-generated content seems to be appreciated by young people as a useful, if not always trustworthy, source of accounts of other people's experiences. The reliability and quality of both user-generated content and official factual content about health appear to be concerns for young people, and they employ specialised strategies for negotiating both areas of the online environment. Young people's engagement with health online is a dynamic area for research. Their perceptions and experiences of health-related content seem based on their wider familiarity with the online environment and, as the online environment develops, so too do young people's strategies and conventions for accessing it

Prediction of reader estimates of mammographic density using convolutional neural networks.

Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.Mammographic density is an important risk factor for breast cancer. In recent research, percentage density assessed visually using visual analogue scales (VAS) showed stronger risk prediction than existing automated density measures, suggesting readers may recognize relevant image features not yet captured by hand-crafted algorithms. With deep learning, it may be possible to encapsulate this knowledge in an automatic method. We have built convolutional neural networks (CNN) to predict density VAS scores from full-field digital mammograms. The CNNs are trained using whole-image mammograms, each labeled with the average VAS score of two independent readers. Each CNN learns a mapping between mammographic appearance and VAS score so that at test time, they can predict VAS score for an unseen image. Networks were trained using 67,520 mammographic images from 16,968 women and for model selection we used a dataset of 73,128 images. Two case-control sets of contralateral mammograms of screen detected cancers and prior images of women with cancers detected subsequently, matched to controls on age, menopausal status, parity, HRT and BMI, were used for evaluating performance on breast cancer prediction. In the case-control sets, odd ratios of cancer in the highest versus lowest quintile of percentage density were 2.49 (95% CI: 1.59 to 3.96) for screen-detected cancers and 4.16 (2.53 to 6.82) for priors, with matched concordance indices of 0.587 (0.542 to 0.627) and 0.616 (0.578 to 0.655), respectively. There was no significant difference between reader VAS and predicted VAS for the prior test set (likelihood ratio chi square, p = 0.134 ). Our fully automated method shows promising results for cancer risk prediction and is comparable with human performance.This paper presents independent research funded by NIHR under its Programme Grants for Applied Research programme (reference number RP-PG-0707-10031: “Improvement in risk prediction, early detection and prevention of breast cancer”) with additional funding from the Prevent Breast Cancer Appeal and supported by the NIHR Manchester Biomedical Research Centre Award No. IS-BRC-1215-20007

Improving Behavioral Support for Smoking Cessation in Pregnancy: What Are the Barriers to Stopping and Which Behavior Change Techniques Can Influence Them? Application of Theoretical Domains Framework

Behavioral support interventions are used to help pregnant smokers stop; however, of those tested, few are proven effective. Systematic research developing effective pregnancy-specific behavior change techniques (BCTs) is ongoing. This paper reports contributory work identifying potentially-effective BCTs relative to known important barriers and facilitators (B&Fs) to smoking cessation in pregnancy; to detect priority areas for BCTs development. A Nominal Group Technique with cessation experts (n = 12) elicited an expert consensus on B&Fs most influencing women’s smoking cessation and those most modifiable through behavioral support. Effective cessation interventions in randomized trials from a recent Cochrane review were coded into component BCTs using existing taxonomies. B&Fs were categorized using Theoretical Domains Framework (TDF) domains. Matrices, mapping BCT taxonomies against TDF domains, were consulted to investigate the extent to which BCTs in existing interventions target key B&Fs. Experts ranked ‘smoking a social norm’ and ‘quitting not a priority’ as most important barriers and ‘desire to protect baby’ an important facilitator to quitting. From 14 trials, 23 potentially-effective BCTs were identified (e.g., ‘information about consequences). Most B&Fs fell into ‘Social Influences’, ‘Knowledge’, ‘Emotions’ and ‘Intentions’ TDF domains; few potentially-effective BCTs mapped onto every TDF domain. B&Fs identified by experts as important to cessation, are not sufficiently targeted by BCT’s currently within interventions for smoking cessation in pregnancy

A new approach to treatment of resistant gram-positive infections: potential impact of targeted IV to oral switch on length of stay

BACKGROUND: Patients prescribed intravenous (IV) glycopeptides usually remain in hospital until completion of this treatment. Some of these patients could be discharged earlier if a switch to an oral antibiotic was made. This study was designed to identify the percentage of inpatients currently prescribed IV glycopeptides who could be discharged earlier if a switch to an oral agent was used, and to estimate the number of bed days that could be saved. We also aimed to identify the patient group(s) most likely to benefit, and to estimate the number of days of IV therapy that could be prevented in patients who remained in hospital. METHODS: Patients were included if they were prescribed an IV glycopeptide for 5 days or more. Predetermined IV to oral antibiotic switch criteria and discharge criteria were applied. A multiple logistic regression model was used to identify the characteristics of the patients most likely to be suitable for earlier discharge. RESULTS: Of 211 patients, 62 (29%) could have had a reduced length of stay if they were treated with a suitable oral antibiotic. This would have saved a total of 649 inpatient days (median 5 per patient; range 1–54). A further 31 patients (15%) could have switched to oral therapy as an inpatient thus avoiding IV line use. The patients most likely to be suitable for early discharge were those with skin and soft tissue infection, under the cardiology, cardiothoracic surgery, orthopaedics, general medical, plastic surgery and vascular specialities, with no high risk comorbidity and less than five other regularly prescribed drugs. CONCLUSION: The need for glycopeptide therapy has a significant impact on length of stay. Effective targeting of oral antimicrobials could reduce the need for IV access, allow outpatient treatment and thus reduce the length of stay in patients with infections caused by antibiotic resistant gram-positive bacteria

Fusidic acid and clindamycin resistance in community-associated, methicillin-resistant Staphylococcus aureus infections in children of Central Greece

<p>Abstract</p> <p>Introduction</p> <p>In Greece, fusidic acid and clindamycin are commonly used for the empiric therapy of suspected staphylococcal infections.</p> <p>Methods</p> <p>The medical records of children examined at the outpatient clinics or admitted to the pediatric wards of the University General Hospital of Larissa, Central Greece, with community-associated staphylococcal infections from January 2003 to December 2009 were reviewed.</p> <p>Results</p> <p>Of 309 children (0-14 years old), 21 (6.8%) had invasive infections and 288 (93.2%) skin and soft tissue infections (SSTIs). Thirty-five patients were ≤30 days of age. The proportion of staphylococcal infections caused by a community-associated methicillin-resistant <it>Staphylococcus aureus </it>(CA-MRSA) isolate increased from 51.5% (69 of 134) in 2003-2006 to 63.4% (111 of 175) in 2007-2009 (<it>P </it>= 0.037). Among the CA-MRSA isolates, 88.9% were resistant to fusidic acid, 77.6% to tetracycline, and 21.1% to clindamycin. Clindamycin resistance increased from 0% (2003) to 31.2% (2009) among the CA-MRSA isolates (<it>P </it>= 0.011). Over the 7-year period, an increase in multidrug-resistant CA-MRSA isolates was observed (<it>P </it>= 0.004). One hundred and thirty-one (93.6%) of the 140 tested MRSA isolates were Panton-Valentine leukocidin-positive. Multilocus sequence typing of 72 CA-MRSA isolates revealed that they belonged to ST80 (n = 61), ST30 (n = 6), ST377 (n = 3), ST22 (n = 1), and ST152 (n = 1). Resistance to fusidic acid was observed in ST80 (58/61), ST30 (1/6), and ST22 (1/1) isolates.</p> <p>Conclusion</p> <p>In areas with high rate of infections caused by multidrug-resistant CA-MRSA isolates, predominantly belonging to the European ST80 clone, fusidic acid and clindamycin should be used cautiously as empiric therapy in patients with suspected severe staphylococcal infections.</p