Effects of emission sources on the particle number size distribution of ambient air in the residential area

Particle size distribution is a major factor in the health and climate effects of ambient aerosols, and it shows a large variation depending on the prevailing atmospheric emission sources. In this work, the particle number size distributions of ambient air were investigated at a suburban detached housing area in northern Helsinki, Finland, during a half-year period from winter to summer of 2020. The measurements were conducted with a scanning mobility particle sizer (SMPS) with a particle size range of 16–698 nm (mobility diameter), and the events with a dominant particle source were identified systematically from the data based on the time of the day and different particle physical and chemical properties. During the measurement period, four different types of events with a dominant contribution from either wood-burning (WB), traffic (TRA), secondary biogenic (BIO), or long-range transported (LRT) aerosol were observed. The particle size was the largest for the LRT events followed by BIO, WB, and TRA events with the geometric mean diameters of 72, 62, 57, and 41 nm, respectively. BIO and LRT produced the largest particle mode sizes followed by WB, and TRA with the modes of 69, 69, 46, and 25 nm, respectively. Each event type had also a noticeably different shape of the average number size distribution (NSD). In addition to the evaluation of NSDs representing different particle sources, also the effects of COVID-19 lockdown on specific aerosol properties were studied as during the measurement period the COVID-19 restrictions took place greatly reducing the traffic volumes in the Helsinki area in the spring of 2020. These restrictions had a significant contribution to reducing the concentrations of NOx and black carbon originating from fossil fuel combustion concentration, but insignificant effects on other studied variables such as number concentration and size distribution or particle mass concentrations (PM1, PM2.5, or PM10). © 2022 The Authors

Changes in symptom burden from 2019 to 2021 amongst community-dwelling older adults in Finland.

BACKGROUND: Symptom burden causes suffering amongst older adults and is associated with healthcare visits and prognosis. AIMS: We evaluated the prevalence of 10 symptoms and changes in symptom burden amongst home-dwelling older adults in 2019 and 2021 using Finnish cohort data. We analysed factors associated with symptom burden increase during follow-up. METHODS: Altogether 1,637 people aged 75+ participated in the Helsinki Ageing Study postal survey in 2019, where they reported the presence of 10 common symptoms over the past 2 weeks. Of them, 785 participated in a follow-up in 2021, where the same symptoms were queried. We compared the prevalence of various symptoms and symptom burden scores in the 2-year interval and evaluated factors associated with increased symptom burden during this time. RESULTS: Of participants, 33% reported at least one daily symptom in 2019 versus 44% in 2021. Symptom burden increased by a mean ratio of 1.29 between 2019 and 2021. The most common symptoms were joint pain, back pain, urinary incontinence and fatigue. The prevalence of four symptoms increased between 2019 and 2021: joint pain, urinary incontinence, dizziness and shortness of breath. Higher age, reduced functional capacity and comorbidities were associated with higher odds of symptom burden increase during follow-up. Psychological well-being (PWB) was strongly associated with lower odds of symptom burden increase in the logistic regression model. CONCLUSIONS: Symptom burden increased in our cohort aged 75+ between 2019 and 2021 before and during the COVID-19 pandemic. PWB was associated with lower odds of acquiring additional symptoms over time.

Adherence with reporting of ethical standards in COVID-19 human studies: A rapid review

Background: Patients with COVID-19 may feel under pressure to participate in research during the pandemic. Safeguards to protect research participants include ethical guidelines [e.g. Declaration of Helsinki and good clinical practice (GCP)], legislation to protect participants' privacy, research ethics committees (RECs) and informed consent. The International Committee of Medical Journal Editors (ICMJE) advises researchers to document compliance with these safeguards. Adherence to publication guidelines has been suboptimal in other specialty fields. The aim of this rapid review was to determine whether COVID-19 human research publications report compliance with these ethical safeguards. Methods: A rapid systematic literature review was conducted in MEDLINE using the search term 'COVID-19'. The search was performed in April 2020 with no start date and repeated to include articles published in November 2020. Filters were 'Full free text available' and 'English Language'. Two reviewers assessed article title, s and full texts. Non-COVID-19 articles and non-clinical studies were excluded. Independent reviewers conducted a second assessment of a random 20% of articles. The outcomes included reporting of compliance with the Declaration of Helsinki and GCP, REC approval, informed consent and participant privacy. Results: The searches yielded 1275 and 1942 articles of which 247 and 717 were deemed eligible, from the April search and November respectively. The majority of journals had editorial policies which purported to comply with ICMJE ethical standards. Reporting of compliance with ethical guidelines was low across all study types but was higher in the November search for case series and observational studies. Reporting of informed consent for case studies and observational studies was higher in the November search, but similar for case series. Overall, participant confidentiality was maintained but some case studies included a combination of details which would have enabled participant identification. Reporting of REC approval was higher in the November search for observational studies. Conclusions: While the majority of journal's editorial policies purported to support the ethical safeguards, many COVID-19 clinical research publications identified in this rapid review lacked documentation of these important safeguards for research participants. In order to promote public trust, ethical declarations should be included consistently. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

Zooming into socio-economic inequalities: Using urban analytics to track vulnerabilities - A case study of helsinki

The Covid19 crisis has highlighted once more that socio-economic inequalities are a main driver of vulnerability. Especially in densely populated urban areas, these inequalities can drastically change even within neighbourhoods. However, conventionally such vulnerabilities are analysed at city or district scale. As such, new methods with higher granularity are needed to zoom into the spatial patterns locally. Machine learning techniques enable us to extract detailed spatial information from geo-located datasets. In this paper, we present a prototypical study that uses Principal Component Analysis (PCA) to analyse the distribution of labour and residential characteristics in the urban area of Helsinki, Finland. The main goals are twofold: 1) identify patterns of socio-economic activities, and 2) study spatial inequalities and related vulnerabilities. Our analyses use a grid of 250x250 meters that covers the whole city of Helsinki, thereby providing a higher granularity than the neighbourhood-scale. The study yields four main findings. First, the descriptive statistical analysis detects inequalities in the labour and residential distributions. Second, relationships between the socio-economic variables exist in the geographic space. Third, the first two Principal Components (PCs) can extract most of the information about the socio-economic dataset. Fourth, the spatial analyses of the PCs identify differences between the Eastern and Western areas of Helsinki, which persist since the economic crisis in the 1990s, indicating clear path-dependencies. Future studies will include further datasets related to the distribution of urban services and socio-technical indicators. © 2021 Information Systems for Crisis Response and Management, ISCRAM. All rights reserved.