bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social contact and inequalities in depression and loneliness among older adults: A mediation analysis of the English Longitudinal Study of Ageing
Authors: Green Michael J , Whitley Elise , Niedzwiedz Claire L , Shaw Richard J , Katikireddi S Vittal 
Published: July 2020

AbstractBackgroundSocial contact, including remote contact (by telephone, email, letter or text), could help reduce social inequalities in depression and loneliness among older adults.MethodsData were from the 8th wave of the English Longitudinal Study of Aging (2016/17), stratified by age (n=1,635 aged <65; n=4,123 aged 65+). Inverse probability weighting was used to estimate average effects of weekly in-person and remote social contact on depression (score of 3+ on 8-item CES-D scale) and two measures of loneliness (sometimes/often feels lonely vs hardly ever/never; and top quintile of UCLA loneliness scale vs all others). We also estimated controlled direct effects of education, partner status, and wealth on loneliness and depression under two scenarios: 1) universal infrequent (<weekly) in-person social contact; and 2) universal weekly remote social contact.ResultsWeekly in-person social contact was associated with reduced odds of depression and loneliness, but associations with remote social contact were weak. Lower education raised odds of depression and loneliness, but differences were attenuated with infrequent in-person contact. Respondents living alone experienced more depression and loneliness than those living with a partner, and less wealth was associated with more depression. With universal infrequent in-person contact, these differences narrowed among those aged under 65 but widened among those aged 65+. Universal weekly remote contact had little impact on inequalities.ConclusionsReduced in-person social contact may increase depression and loneliness among older adults, especially for those aged 65+ who live alone. Reliance on remote social contact seems unlikely to compensate for social inequalities.
Community vulnerability to epidemics in Nepal: A high-resolution spatial assessment amidst COVID-19 pandemic
Authors: Khanal Laxman , Paudel Binod Kumar , Acharya Bipin Kumar 
Published: July 2020

AbstractThe coronavirus disease 19 (COVID-19), the biggest health problem at present, doesn’t have uniform transmission and severity among the countries and communities therein. Knowledge of community vulnerability to the disease would facilitate interventions aimed at transmission control by the efficient deployment of available limited resources. Therefore, we assessed spatial variations and heterogeneity of disease vulnerability among the population in 753 municipal units of Nepal. We collected geospatial indicators representing the domain of socioeconomic inequalities, population dynamics, heterogeneity in accessibility and the information related to underlying health condition which potentially affect the severity of COVID-19 transmission. Those indicators were assembled to create three vulnerability indices using Geographic Information System (GIS); Social Vulnerability Index (SVI), Epidemiological Vulnerability Index (EVI) and a composite of the two- Social and Epidemiological Vulnerability Index (SEVI). The indicators were scaled to a common measurement scale and spatially overlaid via equally weighted arithmetic mean. The indices were classified into five level of risk and the municipal units and the population within vulnerabilities classes were quantified and visualized in the map. The index output indicated high vulnerability to epidemics in megacities like Kathmandu, Pokhara, Bharatpur, etc.; developing cities especially in the Province No 2; and, municipal units of Karnali and Sudoorpashchim provinces. Additionally, some other municipalities such as Dhulikhel, Beshishahar, Tansen etc. which have a higher prevalence of pulmonary and cardiovascular disorders are highly vulnerable. The SVI indicated that 174 municipal units and 41.5% population is highly vulnerable. The EVI identified 55 municipal units and 40.7% of the total population of the country highly vulnerable to COVID-19. The SEVI accounted that disease vulnerability is high in 105 municipal units and 40% population of Nepal. The vulnerability indices created are means for different tiers of the existing government in federal system of Nepal for prioritization and improved planning for disease intervention especially in highly vulnerable municipal units where the COVID-19 transmission could have high severity.
Resting heart rate as a biomarker for tracking change in cardiorespiratory fitness of UK adults: The Fenland Study
Authors: Gonzales Tomas I. , Jeon Justin Y. , Lindsay Timothy , Westgate Kate , Perez-Pozuelo Ignacio , Hollidge Stefanie , Wijndaele Katrien , Rennie Kirsten , Forouhi Nita , Griffin Simon , Wareham Nick , Brage Soren 
Published: July 2020

AbstractAimsResting heart rate (RHR) is inversely associated with cardiorespiratory fitness (CRF) but few studies have investigated the nature of this relationship in large population samples. We examined the association between RHR and CRF in UK adults and explored factors that may influence this relationship.Methods and ResultsIn a population-based sample of 5,143 men and 5,722 women (aged 29-65 years), mean (SD) RHR while seated, supine, and during sleep was 67.6 (9.8), 63.5 (8.9), and 56.9 (6.9) bpm, respectively. The age- and sex-adjusted association with CRF as assessed by submaximal treadmill testing was −0.26 (95%CI −0.27; −0.24), −0.31 (95%CI −0.33; −0.29), and −0.31 (95%CI −0.34; −0.29) ml O2 kg-1 beat-1. Sequential adjustment for objectively measured obesity and physical activity attenuated the RHR coefficient by 10% and 50%, respectively. In longitudinal analyses of 6,589 participants re-examined after 6 years, each 1 bpm increase in supine RHR was associated with 0.23 (95%CI 0.20; 0.25) ml O2 min-1 kg-1 decrease in CRF.ConclusionsAcross all measures, RHR is inversely associated with CRF; half of this association is explained by obesity and physical activity, suggesting CRF changes achieved through altered behaviour could be tracked through changes in RHR, a notion supported by longitudinal results. As well as its utility as a biomarker of CRF at population-level, serial measurements of RHR may facilitate personal goal setting/evaluation and remote patient monitoring.
Mass Screening for SARS-CoV-2 Infection among Residents and Staff in Twenty-eight Long-term Care Facilities in Fulton County, Georgia
Authors: Telford Carson , Onwubiko Udodirim , Holland David , Turner Kim , Prieto Juliana , Smith Sasha , Yoon Jane , Brown Wecheeta , Chamberlain Allison , Gandhi Neel , Khan Shamimul , Williams Steve , Khan Fazle , Shah Sarita 
Published: July 2020

AbstractMass screening for SARS-CoV-2 infection in long-term care facilities revealed significantly higher prevalence of infection in facilities that screened in response to a known infection compared to those that screened as a prevention measure. “Response” facilities had a SARS-CoV-2 prevalence of 28.9% while “preventive” facilities’ prevalence was 1.6% (p <0.001).
Phenoflow: A Microservice Architecture for Portable Workflow-based Phenotype Definitions
Authors: Chapman Martin , Rasmussen Luke V. , Pacheco Jennifer A. , Curcin Vasa 
Published: July 2020

AbstractPhenotyping is an effective way to identify cohorts of patients with particular characteristics within a population. In order to enhance the portability of a phenotype definition across institutions, it is often defined abstractly, with implementers expected to realise the phenotype computationally before executing it against a dataset. However, unclear definitions, with little information about how best to implement the definition in practice, hinder this process. To address this issue, we propose a new multi-layer, workflow-based model for defining phenotypes, and a novel authoring architecture, Phenoflow, that supports the development of these structured definitions and their realisation as computable phenotypes. To evaluate our model, we determine its impact on the portability of both code-based (COVID-19) and logic-based (diabetes) definitions, in the context of key datasets, including 26,406 patients at North-western University. Our approach is shown to ensure the portability of phenotype definitions and thus contributes to the transparency of resulting studies.
Evaluating the effectiveness of the smartphone app, Drink Less, compared with the NHS alcohol advice webpage, for the reduction of alcohol consumption among hazardous and harmful adult drinkers in the UK at six-month follow-up: protocol for a randomised controlled trial
Authors: Garnett Claire , Oldham Melissa , Angus Colin , Beard Emma , Burton Robyn , Field Matt , Greaves Felix , Hickman Matthew , Kaner Eileen , Loebenberg Gemma , Michie Susan , Munafò Marcus , Pizzo Elena , Brown Jamie 
Published: July 2020

AbstractBackground and AimsDigital interventions are effective for reducing alcohol consumption but evidence is limited regarding smartphone apps. Drink Less is a theory- and evidence-informed app to help people reduce their alcohol consumption that has been refined in terms of its content and design for usability across the socio-demographic spectrum. We aim to evaluate the effectiveness and cost-effectiveness of recommending Drink Less at reducing alcohol consumption compared with usual digital care.DesignTwo-arm individually randomised controlled trial.SettingOnline trial in the UK.ParticipantsHazardous or harmful drinkers (Alcohol Use Disorders Identification Test score >=8) aged 18+, and want to drink less alcohol (n=5,562). Participants will be recruited from July 2020 to May 2022 using multiple strategies with a focus on remote digital methods.Intervention and comparatorParticipants will be randomised to receive either an email recommending that they use Drink Less (intervention) or view the NHS webpage on alcohol advice (comparator).MeasurementsThe primary outcome is change in self-reported weekly alcohol consumption between baseline and 6-month follow-up. Secondary outcomes include the proportion of hazardous drinkers; alcohol-related problems and injury; health-related quality of life, and use of health services assessed at 6-month follow-up. Effectiveness will be examined with one-way ANCOVAs, adjusting for baseline alcohol consumption, and using an intention-to-treat approach. A mixed-methods process evaluation will assess engagement, acceptability and mechanism of action. Economic evaluations will be conducted using both a short- and longer-term time horizon.CommentsThis study will establish the effectiveness and cost-effectiveness of the Drink Less app at reducing alcohol consumption among hazardous and harmful adult drinkers and will be the first RCT of an alcohol reduction app for the general population in the UK. This study will inform the decision on whether it is worth investing resources in large-scale implementation.
Sensitive detection of SARS-CoV-2-specific-antibodies in dried blood spot samples
Authors: Morley Gabriella L. , Taylor Stephen , Jossi Sian , Perez-Toledo Marisol , Faustini Sian E. , Marcial-Juarez Edith , Shields Adrian M. , Goodall Margaret , Allen Joel D. , Watanabe Yasunori , Newby Maddy L. , Crispin Max , Drayson Mark T. , Cunningham Adam F. , Richter Alex G. , O’Shea Matthew K. 
Published: July 2020

AbstractImportancePopulation-wide serological testing is an essential component in understanding the COVID-19 pandemic. The logistical challenges of undertaking widespread serological testing could be eased through use of a reliable dried blood spot (DBS) sampling method.ObjectiveTo validate the use of dried blood spot sampling for the detection of SARS-CoV-2-specific antibodies.Design, setting and participantsEighty-seven matched DBS and serum samples were obtained from eighty individuals, including thirty-one who were previously PCR-positive for SARS-CoV-2. DBS eluates and sera were used in an ELISA to detect antibodies to the viral spike protein.ResultsSpecific anti-SARS-Cov-2 spike glycoprotein antibodies were detectable in both serum and DBS eluate and there was a significant correlation between the antibody levels detected in matched samples (r = 0.96, p<0.0001). Using serum as the gold standard in the assay, matched DBS samples achieved a Cohen’s kappa coefficient of 0.975 (near-perfect agreement), a sensitivity of 98.1% and specificity of 100%, for detecting anti-spike glycoprotein antibodies.Conclusions and relevanceEluates from DBS samples are a reliable and reproducible source of antibodies to be used for the detection of SARS-CoV-2-specific antibodies. The use of DBS sampling could complement the use of venepuncture in the immunosurveillance of COVID-19 in both low and high income settings.
Integrative Genomic Analysis Identifies the Soluble Receptor for Advanced Glycation End Products as Putatively Causal for Rheumatoid Arthritis
Authors: Lee Gha Young , Yao Chen , Hwang Shih Jen , Joehanes Roby , Lee Dong Heon , Ellison R. Curtis , Moore Lynn L. , Liu Chunyu , Levy Daniel 
Published: July 2020

ABSTRACTObjectivesIdentifying causal biomarkers of rheumatoid arthritis (RA) to improve treatment and monitor disease progression remains a critical but elusive goal. To search for putatively causal protein biomarkers of RA, we designed an integrative genomic strategy utilizing Mendelian randomization (MR), which allows for causal inference between an exposure and an outcome by incorporating genetic variants associated with an exposure (circulating protein level) and inferring its effect on the outcome (rheumatoid arthritis).MethodsWe utilized genetic variants associated with 71 cardiovascular disease-related proteins measured in nearly 7000 Framingham Heart Study participants in conjunction with variants associated with RA in a genome-wide association study (GWAS) from the UK Medical Research Council Integrative Epidemiology Unit (19,234 cases, 61,565 controls) to identify putatively causal proteins for RA. In addition, we applied MR to study circulating rheumatoid factor (RF) levels using GWAS of RF from the UK Biobank (n=30,565) as the outcome.ResultsWe identified the soluble receptor for advanced glycation end products (sRAGE), a critical inflammatory pathway protein, as putatively causal and protective for both RA (odds ratio per 1 standard deviation increment in inverse-rank normalized sRAGE level=0.482; 95% confidence interval 0.374-0.622; p=1.85×10−08) and RF levels (β [change in RF level per sRAGE increment]=-1.280; SE=0.434; p=0.003).ConclusionsBy integrating GWAS of 71 cardiovascular disease-related proteins, RA, and RF, we identified sRAGE as a putatively causal protein protective for both RA ad RF levels. These results highlight the AGER/RAGE axis as a promising new target for RA treatment.
Community structure mediates Sabin 2 polio vaccine virus transmission
Authors: Famulare M , Wong W , Haque R , Platts-Mills JA , Saha P , Aziz AB , Ahmed T , Islam MO , Uddin MJ , Bandyopadhyay AS , Yunus M , Zaman K , Taniuchi M 
Published: July 2020

AbstractSince the global withdrawal of Sabin 2 oral poliovirus vaccine (OPV) from routine immunization, the Global Polio Eradication Initiative (GPEI) has reported multiple circulating vaccine-derived poliovirus type 2 (cVDPV2) outbreaks. cVDPV2 outbreaks are controlled with mass Sabin 2 OPV vaccination campaigns, which carry a small but serious risk of seeding future cVDPV2 outbreaks. Accurate forecasting models are essential for quantifying current and future cVDPV2 outbreak risk following Sabin 2 OPV campaigns, but it is unclear whether household community structure influences vaccine virus transmission or is relevant for assessing cVDPV2 outbreak risk. Here, we developed an agent-based model of Sabin 2 vaccine transmission to assess the role of household community structure on vaccine virus transmission following a mass OPV campaign performed in Matlab, Bangladesh. Household community structure strongly limits vaccine virus transmission to local community members and ignoring it overestimates outbreak risk in terms of emergence probability, duration, and epidemic size.
Phosphoproteomics Reveals AMPK Substrate Network in Response to DNA Damage and Histone Acetylation
Authors: Jiang Yuejing , Cong Xiaoji , Jiang Shangwen , Dong Ying , Zhao Lei , Zang Yi , Tan Minjia , Li Jia 
Published: July 2020

AbstractAMPK is a conservative energy sensor that plays roles in diverse biologic processes via direct phosphorylation on various substrates. Emerging studies have demonstrated the regulatory roles of AMPK in DNA repair, but the underlying mechanisms remain to be fully understood. Herein, using mass spectrometry-based proteomic technologies, we systematically investigate the regulatory network of AMPK in DNA damage response. Our system-wide phosphoproteome study uncovers a variety of newly-identified potential substrates involved in diverse biologic processes, whereas our system-wide histone modification analysis reveals a linkage between AMPK and histone acetylation. Together with these findings, we discover that AMPK promotes apoptosis by phosphorylating ASPP2 in irradiation-dependent way and regulates histone acetylation by phosphorylating HDAC9 in irradiation-independent way. Besides, we reveal that disturbing the histone acetylation by the bromodomain BRD4 inhibitor JQ-1 enhanced the sensitivity of AMPK-deficient cells to irradiation. Therefore, our studies provided a source to study the phosphorylation and histone acetylation underlying the regulatory network of AMPK, which could be beneficial to understand the exact role of AMPK in DNA damage response.
Efficient food service chain management considering substitute products
Authors: Ko Young Dae , Song Byung Duk , Park Kyungsu 
Published: July 2020

PurposeThis study investigates the pricing and inventory control decisions of a company that owns a coffeehouse chain providing drip coffee and a coffee manufacturing factory producing ready-to-drink (RTD) coffee. To determine a way to maximize profit, optimal pricing and inventory control strategies are studied for both the RTD coffee as well as the coffeehouse chain network.Design/methodology/approachIt is assumed that the company sells only drip coffee through its coffeehouse chain and would like to launch RTD coffee via other channels such as convenience stores, supermarkets and so on to maximize its total profit. A mathematical model–based optimization is adopted to address the decision-making for the given problem situation, where the demand for both drip and RTD coffee are dependent on the values of decision variables. To solve the proposed mathematical model, particle swarm optimization (PSO) is applied due to nonlinearity of the developed model.FindingsIt is confirmed that a company can earn more profit by launching RTD coffee, even though the profit from drip coffee would reduce. In addition, the scenario analysis shows that by launching RTD coffee under various conditions, the total profits would also improve.Originality/valueThe value of this study is the proposed basic framework for the industry. In addition to the modeling framework and cost structure, realistic cost figures and technical details can be considered when applying the model to a practical setting.
Non-financial information and cost of equity capital: an empirical analysis in the food and beverage industry
Authors: Raimo Nicola , de Nuccio Elbano , Giakoumelou Anastasia , Petruzzella Felice , Vitolla Filippo 
Published: July 2020

PurposeThis study examines the effect that environmental, social and governance (ESG) disclosure generates on the cost of equity capital in the food and beverage (F&B) sector.Design/methodology/approachThis study analyses a sample of 171 international listed firms pertaining to the F&B sector and headquartered in North America, Western Europe and Asia Pacific (developed), forming an unbalanced panel of 1,316 observations, spanning the period 2010–2019. We run a fixed-effects panel regression model to test the relationship between ESG disclosure and the cost of equity capital.FindingsOur empirical outcomes suggest a significant negative relationship between ESG disclosure and the cost of equity capital. We find support for the notion that increased levels of ESG disclosure are linked to an improved access to financial resources for firms.Originality/valueThis is the first study that analyses the impact of ESG disclosure on the cost of equity capital in the F&B sector, taking existing literature a step further into more detailed and specific aspects of the relationship of focus.
Organizational learning and Industry 4.0: findings from a systematic literature review and research agenda
Authors: Belinski Ricardo , Peixe Adriana M.M. , Frederico Guilherme F. , Garza-Reyes Jose Arturo 
Published: July 2020

PurposeIndustry 4.0 has been one of the most topics of interest by researches and practitioners in recent years. Then, researches which bring new insights related to the subjects linked to the Industry 4.0 become relevant to support Industry 4.0's initiatives as well as for the deployment of new research works. Considering “organizational learning” as one of the most crucial subjects in this new context, this article aims to identify dimensions present in the literature regarding the relation between organizational learning and Industry 4.0 seeking to clarify how learning can be understood into the context of the fourth industrial revolution. In addition, future research directions are presented as well.Design/methodology/approachThis study is based on a systematic literature review that covers Industry 4.0 and organizational learning based on publications made from 2012, when the topic of Industry 4.0 was coined in Germany, using data basis Web of Science and Google Scholar. Also, NVivo software was used in order to identify keywords and the respective dimensions and constructs found out on this research.FindingsNine dimensions were identified between organizational learning and Industry 4.0. These include management, Industry 4.0, general industry, technology, sustainability, application, interaction between industry and the academia, education and training and competency and skills. These dimensions may be viewed in three main constructs which are essentially in order to understand and manage learning in Industry 4.0's programs. They are: learning development, Industry 4.0 structure and technology Adoption.Research limitations/implicationsEven though there are relatively few publications that have studied the relationship between organizational learning and Industry 4.0, this article makes a material contribution to both the theory in relation to Industry 4.0 and the theory of learning - for its unprecedented nature, introducing the dimensions comprising this relation as well as possible future research directions encouraging empirical researches.Practical implicationsThis article identifies the thematic dimensions relative to Industry 4.0 and organizational learning. The understanding of this relation has a relevant contribution to professionals acting in the field of organizational learning and Industry 4.0 in the sense of affording an adequate deployment of these elements by organizations.Originality/valueThis article is unique for filling a gap in the academic literature in terms of understanding the relation between organizational learning and Industry 4.0. The article also provides future research directions on learning within the context of Industry 4.0.