5 research outputs found
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Systemic inflammation, lifestyle behaviours and dementia: a 10-year follow-up investigation
ObjectivesLifestyle behaviours have been linked to dementia incidence, but their cumulative impact on dementia and the underlying mechanisms remain poorly understood. This study investigated the association of co-occurring lifestyle behaviours with dementia incidence and the mediating role of systemic inflammation in this association.MethodsThe sample comprised 3,131 participants (55.2% female) from the English Longitudinal Study of Ageing aged 52-92 years at baseline (2008/09). Self-reported baseline lifestyle behaviours (alcohol intake, fruit and vegetable consumption, smoking, physical activity, sleep duration, social engagement, and cognitive activity) were summed to derive an index of lifestyle behaviours, ranging from 0 to 7, with higher scores denoting a higher number of health-risk behaviours. Incident dementia cases (n= 130, 4.2%) were identified through doctor-diagnosed dementia, informant interviews, and health records between 2014/15 and 2018/19. Systemic inflammation was measured through fasting plasma concentrations of C-reactive protein in 2012/13.ResultsBinary logistic regression models indicated that the odds of subsequent dementia increased by 1.19 for each additional health-risk behaviour (95% confidence intervals: 1.04, 1.37, p= .014) after adjusting for age, sex, ethnicity, wealth, education, marital status, body mass index, coronary heart disease, hypertension, stroke, and depression. However, this association was not mediated by C-reactive protein.ConclusionsCo-occurring health-risk behaviours were associated with higher dementia incidence up to 10 years later, underscoring the importance of modifying health-risk behaviours for the prevention of dementia. Systemic inflammation did not explain the association between behaviours and dementia.</p
Is the future of work experience online? An examination of stakeholder attitudes towards online internships.
Purpose
The world of work is becoming digital, a process accelerated by the recent COVID-19 pandemic and resultant remote working guidelines. Online internships have become more popular in this context, and yet there remains a lack of research investigating how these internships are perceived across stakeholders. The purpose of this paper was to begin to address this research gap by exploring academic, student and employer perceptions of online internships with a focus on employability.
Design
The research explored 156 stakeholders (53 students, 50 academics, 53 employer / professionals) perceptions via a mixed-methods online study encompassing quantitative responses to internship vignettes, alongside open-ended questions designed to explore stakeholder attitudes in more depth.
Findings
Stakeholder groups reported similar attitudes towards online internships. Overall, online internships were viewed as valid, flexible, work experience, linked to skill development and likely to enhance student employability. However, concerns were raised regarding communication protocols and development, intern isolation and a lack of organisational immersion.
Implications
Based on our research we make three recommendations to continue to enhance and develop the online internship experience; ensure multiple methods of regular communication between student and organisation, attempt virtual immersion in the organisation, and assign each intern additional support beyond their immediate supervisor.
Originality
Based on a holistic and novel analysis of key stakeholders’ viewpoints, this paper provides much needed insights and evidence on how to design and quality assure effective online internship practice
Spatially resolved qualified sewage spot sampling to track SARS-CoV-2 dynamics in Munich - One year of experience
Rubio-Acero R, Beyerl J, Muenchhoff M, et al. Spatially resolved qualified sewage spot sampling to track SARS-CoV-2 dynamics in Munich - One year of experience. Science of The Total Environment. 2021;797: 149031
The representative COVID-19 cohort Munich (KoCo19): from the beginning of the pandemic to the Delta virus variant
Le Gleut R, Plank M, Pütz P, et al. The representative COVID-19 cohort Munich (KoCo19): from the beginning of the pandemic to the Delta virus variant. BMC Infectious Diseases. 2023;23(1): 466.**Background**
Population-based serological studies allow to estimate prevalence of SARS-CoV-2 infections despite a substantial number of mild or asymptomatic disease courses. This became even more relevant for decision making after vaccination started. The KoCo19 cohort tracks the pandemic progress in the Munich general population for over two years, setting it apart in Europe.
**Methods**
Recruitment occurred during the initial pandemic wave, including 5313 participants above 13 years from private households in Munich. Four follow-ups were held at crucial times of the pandemic, with response rates of at least 70%. Participants filled questionnaires on socio-demographics and potential risk factors of infection. From Follow-up 2, information on SARS-CoV-2 vaccination was added. SARS-CoV-2 antibody status was measured using the Roche Elecsys® Anti-SARS-CoV-2 anti-N assay (indicating previous infection) and the Roche Elecsys® Anti-SARS-CoV-2 anti-S assay (indicating previous infection and/or vaccination). This allowed us to distinguish between sources of acquired antibodies.
**Results**
The SARS-CoV-2 estimated cumulative sero-prevalence increased from 1.6% (1.1-2.1%) in May 2020 to 14.5% (12.7-16.2%) in November 2021. Underreporting with respect to official numbers fluctuated with testing policies and capacities, becoming a factor of more than two during the second half of 2021. Simultaneously, the vaccination campaign against the SARS-CoV-2 virus increased the percentage of the Munich population having antibodies, with 86.8% (85.5-87.9%) having developed anti-S and/or anti-N in November 2021. Incidence rates for infections after (BTI) and without previous vaccination (INS) differed (ratio INS/BTI of 2.1, 0.7-3.6). However, the prevalence of infections was higher in the non-vaccinated population than in the vaccinated one. Considering the whole follow-up time, being born outside Germany, working in a high-risk job and living area per inhabitant were identified as risk factors for infection, while other socio-demographic and health-related variables were not. Although we obtained significant within-household clustering of SARS-CoV-2 cases, no further geospatial clustering was found.
**Conclusions**
Vaccination increased the coverage of the Munich population presenting SARS-CoV-2 antibodies, but breakthrough infections contribute to community spread. As underreporting stays relevant over time, infections can go undetected, so non-pharmaceutical measures are crucial, particularly for highly contagious strains like Omicron