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Techno-economic risk assessment, lifetime investigation and life cycle charging for poly(butylene succinate) along with poly(lactic acidity) creation making use of alternative resources.
Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.INTRODUCTION Mental health is marked by gender differences. We formed a multi-cohort consortium to perform GEnder-Sensitive Analyses of mental health trajectories and study their implications for prevention (GESA). GESA aims at (1) identifying gender differences regarding symptoms and trajectories of mental health over the lifespan; (2) determining gender differences regarding the prevalence, impact of risk and protective factors; and (3) determining effects of mental health on primary and secondary outcomes (eg, quality of life, healthcare behaviour and utilisation). METHODS AND ANALYSIS We plan to perform secondary analyses on three major, ongoing, population-based, longitudinal cohorts (Gutenberg Health-Study (GHS), Study of Health in Pomerania (SHIP), Cooperative Health Research in the Augsburg Region (KORA)) with data on mental and somatic symptoms, medical assessments and diagnoses in north-east, middle and southern Germany (n>40 000). Meta-analytic techniques (using DataSHIELD framework) will be used to combine aggregated data from these cohorts. This process will inform about heterogeneity of effects. Longitudinal regression models will estimate sex-specific trajectories and effects of risk and protective factors and secondary outcomes. ETHICS AND DISSEMINATION The cohorts were approved by the ethics committees of the Statutory Physician Board of Rhineland-Palatinate (837.020.07; GHS), the University of Greifswald (BB 39/08; SHIP) and the Bavarian Chamber of Physicians (06068; KORA). Together with stakeholders in medical care and medical training, findings will be translated and disseminated into gender-sensitive health promotion and prevention. © 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.BACKGROUND Neonatal jaundice (NNJ) is a frequent complication of glucose-6-phosphate dehydrogenase (G6PD) deficiency. OBJECTIVES To estimate the prevalence of G6PD deficiency among neonates with jaundice and to assess mothers' perception towards G6PD and NNJ. Sivelestat METHODS A cross-sectional study was carried out on 487 ethnic Egyptian neonates with indirect hyperbilirubinaemia from June 2018 to July 2019. The collected data included maternal and neonatal characteristics. Laboratory investigations included serum bilirubin, reticulocyte count, ABO grouping, Rh typing and neonatal serum G6PD test. Mothers were interviewed individually using a structured, researcher-administered questionnaire to assess their perceptions of G6PD deficiency and NNJ. RESULTS The prevalence of G6PD deficiency was 10.10%. Neonates with G6PD deficiency showed higher levels of serum bilirubin (p less then 0.001). Male gender, family history of G6PD deficiency and consanguinity were risk factors for G6PD deficiency (OR=4.27, 95% CI 1.66 - 10.99; OR=9.54, 95% CI 4.80- 18.95; OR=10.219, 95% CI 5.39 - 19.33, respectively). Mothers' perceptions of NNJ and G6PD were low, with only 30% having good knowledge on NNJ and 17.10% on G6PD deficiency, 46.8% with positive attitude towards NNJ and 45.0% towards G6PD deficiency, and 29.9% with good practice towards NNJ and 19.9% towards G6PD deficiency. CONCLUSION G6PD deficiency seems to be an important cause of NNJ. Mothers' perceptions of both NNJ and G6PD deficiency were low. A mass health education programme on both of these diseases is needed to ensure better and early detection, good timing of treatment, and better prevention of the triggering factors to ensure better health for children. © 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.BACKGROUND Scholarship plays a direct role in career advancement, promotion and authoritative recognition, and women physicians remain under-represented as authors of original research articles. OBJECTIVE We sought to determine if women physician authors are similarly under-represented in commentary articles within high-impact journals. DESIGN/SETTING/PARTICIPANTS In this observational study, we abstracted and analysed author information (gender and degree) and authorship position from commentary articles published in three high-impact journals between 1 January 2014 and 16 October 2018. PRIMARY OUTCOME MEASURE Authorship rate of commentary articles over a 5-year period by gender, degree, authorship position and journal. SECONDARY OUTCOME MEASURES To compare the proportion of men and women physician authorship of commentaries relative to the proportion of men and women physician faculty within academic medicine; and to examine the gender concordance among the last and first authors in articles with more than o commercial re-use. See rights and permissions. Published by BMJ.OBJECTIVES Current mortality prediction models used in the intensive care unit (ICU) have a limited role for specific diseases such as influenza, and we aimed to establish an explainable machine learning (ML) model for predicting mortality in critically ill influenza patients using a real-world severe influenza data set. STUDY DESIGN A cross-sectional retrospective multicentre study in Taiwan SETTING Eight medical centres in Taiwan. PARTICIPANTS A total of 336 patients requiring ICU-admission for virology-proven influenza at eight hospitals during an influenza epidemic between October 2015 and March 2016. PRIMARY AND SECONDARY OUTCOME MEASURES We employed extreme gradient boosting (XGBoost) to establish the prediction model, compared the performance with logistic regression (LR) and random forest (RF), demonstrated the feature importance categorised by clinical domains, and used SHapley Additive exPlanations (SHAP) for visualised interpretation. RESULTS The data set contained 76 features of the 336 patients wality prediction model in critically ill influenza patients. © 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.INTRODUCTION Social media platforms offer unique opportunities for health promotion messages focusing on cancer prevention and early diagnosis. However, there has been very little synthesis of the evaluation of such campaigns, limiting the ability to apply learning to the design of future social media campaigns. We aimed to provide a broad overview of the current research base on social media interventions for cancer prevention and early diagnosis, to identify knowledge gaps and to inform policy, practice and future research questions. METHODS We will use scoping review methodology to explore the available evidence on social media interventions for cancer prevention and early diagnosis, with a focus on methodological approaches. Quantitative and qualitative studies and reports will be identified through searching several research databases, through internet searching for grey literature and by screening the citations of studies included in the review. All identified studies will undergo independent title and abstract screening and full-text screening against inclusion and exclusion criteria.
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