Local Units Research Articles

Multi-criteria assessment of ICT development in public administration in Poland

Information and communications technology (ICT) has become a stimulus for socioeconomic change and created new prospects for the development of e-government, thereby ushering in a new era in the provision of public services. With the development of ICTs, new ways of delivering public services are increasingly popular, and new opportunities that offer a chance to improve the professional position of public officials are emerging. Therefore, the main aim of this study is to assess the development of ICT technologies in state and local government entities in Poland. A review of the literature on the subject using the triangulation method allowed one to bring closer the considerations on the development of e-government services in Poland and the world, and the implementation of ICT tools in public administration entities. Based on an index analysis, the access of public administration entities and their employees to the Internet and ICTs and the development of public services provided electronically were assessed. The results of the study showed that the COVID-19 pandemic has accelerated changes in access to e-government services and the growth of remote work. It has highlighted the need to equip workers and train them properly. The analysis of the EGDI index places Poland in 34th place among UN countries in 2022. Concerning EU countries, Poland was ranked 17th for OSI and 16th for HCI and TII. In turn, our research using multicriteria analysis methods allows us to conclude that public administration activities in Poland should be directed at local units. The use of linear ordering measures in the research (TOPSIS, VIKOR, and Hellwig) allowed us to establish a ranking of individual levels of public administration in Poland for the development of ICT technologies. The leader in the ranking according to all three methods is the marshal offices. The last position in the ranking according to the VIKOR method is shown by municipal offices, according to the TOPSIS and Hellwig methods, they are in the penultimate position. Keywords: ICT; TOPSIS; Hellwig, VIKOR, public administration units, Poland

A GENERAL LIMIT THEORY FOR NONLINEAR FUNCTIONALS OF NONSTATIONARY TIME SERIES

New limit theory is provided for a wide class of sample variance and covariance functionals involving both nonstationary and stationary time series. Sample functionals of this type commonly appear in regression applications and the asymptotics are particularly relevant to estimation and inference in nonlinear nonstationary regressions that involve unit root, local unit root, or fractional processes. The limit theory is unusually general in that it covers both parametric and nonparametric regressions. Self-normalized versions of these statistics are considered that are useful in inference. Numerical evidence reveals interesting strong bimodality in the finite sample distributions of conventional self-normalized statistics similar to the bimodality that can arise in t-ratio statistics based on heavy tailed data. Bimodal behavior in these statistics is due to the presence of long memory innovations and is shown to persist for very large sample sizes even though the limit theory is Gaussian when the long memory innovations are stationary. Bimodality is shown to occur even in the limit theory when the long memory innovations are nonstationary. To address these complications, new self-normalized versions of the test statistics are introduced that deliver improved approximations that can be used for inference.

Electromobility in local administration offices of provincial cities in Poland – status at the end of 2022

ABSTRACT: The objective of this article is to investigate behaviours related to electromobility in terms of owned vehicle fleets and charging stations in local administration units, the role of zero-emission vehicles in building the image of the administration and the promotion of environmentally friendly behaviours among its employees as at the end of 2022. The completion of the objective was based on surveys of the data collected using the CATI technique from provincial offices (POs) and municipal offices (MOs)[1] of provincial cities. The survey showed that the primary means of transport owned by the entities surveyed are internal combustion engine vehicles. Of these, the largest group is made up of passenger cars – the average age of vehicles at the time of the survey was approx. eight years. In sum, the local administration in the provincial cities is approaching the target value established by law. The average share of BEVs in the passenger vehicle fleet is 9%. In terms of charging station ownership, there were three dominant patterns. There is a perception among respondents that a fleet of environmentally friendly vehicles builds a positive, pro-environmental image of the office, while in none of the offices was there any action to support the environmentally friendly behaviour of employees in terms of travelling to and from work. [1] The survey covered local government administrative units in 16 cities where local government offices are located and involved provincial local government offices (POs) and municipal local government offices (MOs).

Cardiovascular Magnetic Resonance Reveals Cardiac Inflammation and Fibrosis in Symptomatic Patients with Post-COVID-19 Syndrome: Findings from the INSPIRE-CMR Multicenter Study.

Introduction. Post-coronavirus disease-2019 (COVID-19) patients may develop cardiac symptoms. We hypothesized that cardiovascular magnetic resonance (CMR) can assess the background of post-COVID-19 cardiac symptoms using multi-parametric evaluation. We aimed to conduct an investigation of symptomatic patients with post-COVID-19 syndrome using CMR (INSPIRE-CMR). Methods. INSIPRE-CMR is a retrospective multicenter study including 174 patients from five centers referred for CMR due to cardiac symptoms. CMR was performed using 3.0 T/1.5 T system (24%/76%, respectively). Myocardial inflammation was determined by the updated Lake Louise criteria. Results. Further, 174 patients with median age of 40 years (IQR: 26-54), 72 (41%) were women, and 17 (9.7%) had a history of autoimmune disease, muscular dystrophy, or cancer. In total, 149 (86%) patients were late gadolinium enhanced (LGE)-positive with a non-ischemic pattern, and of those evaluated with the updated Lake Louise criteria, 141/145 (97%) had ≥1 pathologic T1 index. Based on the T2-criterion, 62/173 (36%) patients had ≥1 pathologic T2 index. Collectively, 48/145 (33%) patients had both positive T1- and T2-criterion. A positive T2-criterion or a combination of a positive T1- and T2-criterion were significantly more common amongst patients with severe COVID-19 [45 (31%) vs. 17 (65%), p = 0.001 and 32 (27%) vs. 16 (64%), p < 0.001, respectively]. During the one-year evaluation, available for 65/174 patients, shortness of breath, chest pain, and arrhythmia were identified in 7 (4%), 15 (8.6%), and 43 (24.7%), respectively. CMR evaluation, available in a minority of them, showed mildly reduced LVEF, while nat T1 mapping and EVC remained at levels higher than the normal values of the local MRI units. Conclusions. The majority of post-COVID-19 patients with cardiac symptoms presented non-ischemic LGE and abnormalities in T1 and T2-based indices. Multi-parametric CMR reveals important information on post-COVID-19 patients, supporting its role in short/long-term evaluation.

A transparent multifunctional integrated meta-window with excellent sound insulation and vibration reduction performance

As the speed of transportation vehicles such as high-speed train continues to increase, there has been a significant rise in both noise and vibration levels, substantially compromising passenger comfort and overall travel experience. In transportation vehicles, the necessity for transparency in windows poses a challenge in incorporating high sound-insulating or vibration-damping materials, rendering windows vulnerable in sound isolation and vibration attenuation. This study employs an integrated material-structural design concept to develop a multifunctional meta-window, which ensures optimal lighting transmission while achieving outstanding sound-insulating and vibration-damping capabilities. Two distinct structures, named ultra-lightweight thin plate-type metamaterial and high-stability thick plate-type metamaterial, are precisely designed to adapt to varied application scenarios. Utilizing a gradient parameter multi-cell parallel synergetic coupling design method broadens the working bandwidth for sound insulation. The meta-window incorporates localized resonance units, enabling acoustic and vibrational energy dissipation through low-frequency resonance, effectively enhancing the window’s sound-insulating and vibration-damping capabilities. Comprising a composite of various transparent materials, the design amalgamates sound insulation, vibration reduction, and light transmission, eliminating the need for opaque sound-insulating or damping materials. Consequently, it holds substantial potential for applications across sectors, including train, aircraft, and architectural domains.

Two highly-ordered global structures observed in packed beds of balls inside vibrated cylinder: Experiment and modelling of layers

During the vibration of plastic balls put into a cylinder three basic global orderings of the packed beds of balls were observed. Computed microtomography measurements enabled to determine coordinates of all balls. Internal layers and their structure in crystallized beds were studied and a model was developed to predict the radii of the layers. Structural analysis, based on the Coordination Polyhedron method, was used to identify all regular local structural units present in the bed: face-centred cubic (fcc), hexagonal close-packed (hcp), icosahedral (ico) and decahedral (dec). Two already-observed global structures, namely: random loose packing (RLP) and hexagonal layer (HL) with horizontal rows of balls, were investigated in detail. The third one, called columnar structure here, was found during the experiment and has the HL structure with vertical rows of balls. Its internal structure is highly ordered, composed of regularly-spaced columns of atoms with characteristic linear chains of non-crystalline dec units.

Leveraging or Overcoming Distance? Global Strategy and Structure of Professional Services Firms

In this study, geographic distance is an instructional logic that influences the international strategy and structure of professional service firms (PSFs). By drawing on three governance modes—global value chains, virtual teams, and ecosystems—we identify eight governance structures in use by PSFs, resulting from reliance on one of two distance logics: distance-as-enabler and distance-as-barrier. When the logic of distance-as-enabler is prioritized, PSFs choose a structure that is more unified at the global level. When the logic of distance-as-barrier is upheld, PSFs give greater autonomy to local units or establish loosely connected regionally autonomous partnerships. By highlighting the co-evolution between professional governance and professional practice we further show that greater distance necessitates professional work to be more codified and modularized, while proximity preserves professional work's bespoke nature. We apply this framework to demonstrate how external environmental factors trigger firms to shift from one specific governance-practice form to another.

Integrating SDGs to village development plan through the provision of infrastructure: The case of best village panchayat in Kerala, South India

With the declaration of the Sustainable Development Goals (SDGs), the importance of localisation principles and, consequently, the local-level institutions in implementing development policies came to the forefront. India adopted a thematic approach by condensing the seventeen goals into nine themes, to be worked upon by the local administrative units, furthering that each Village Panchayat (constitutionally known as Grama Panchayats) should select a theme in a plan year and strive towards attaining it. For the South Indian state of Kerala, with its good trajectory of decentralised governance, this localisation process of SDGs was rather smooth. In this article, we discuss the case of the best-performing Grama Panchayat (GP) in Kerala, which has identified ‘Village with Self-Sufficient Infrastructure’ as the development theme. Through qualitative research methodology, we examine how the Panchayat included projects specific to this theme in the development plans and how the implementation helped produce effects on multidimensional aspects of SDGs using the SDG Impact Assessment Tool. The case studies of different infrastructure-based projects endorse that with proper planning and implementation of such projects, the lowest tier of administration can significantly contribute to the improvement of development goals. We have delineated full fund utilisation through convergence schemes, community participation, and strong monitoring mechanisms as the factors leading the selected Panchayat to be the champion of the cause. The accomplishment exhibited by the Panchayat by integrating SDGs into the Village Development Plan through the projects on the theme of self-sufficient infrastructure can be well emulated by other local bodies across the world.

Open Data for Transparency of Government Tenders: A State Analysis in Croatian Agriculture Land Lease

State-owned agricultural land is an asset that the state must manage in a responsible and transparent manner. Agricultural land is extremely important for farmers as it enables them to carry out agricultural activities. Due to its importance to farmers, it is often the subject of debate as stakeholders are often dissatisfied with the allocation and management of state-owned agricultural land. Qualitative research of the process of state agricultural land lease and the associated legislation in the Republic of Croatia enabled the analysis of the existing business model, with the results pointing to shortcomings in the Initial and Evaluation phases of the process. A steady rise in the number of tenders published in 2015–2022 was recorded. Local administrative units in the Continental region scored higher than those in the Adriatic region (both cities and municipalities) in terms of transparency. Unfortunately, the response rate from the local authorities was below 50% across both region and unit, further indicating low transparency. Based on the findings, a proposal of changes in the tendering process was made utilizing a digital platform as an environment for all stakeholders, which provides functionalities essential for the transparent implementation of tenders for the agricultural land lease in Croatia.

A study of the enablers and barriers to the collection of sociodemographic data by public health units in Ontario, Canada during the COVID-19 pandemic

BackgroundCollection and use of sociodemographic data (SDD), including race, ethnicity and income, are foundational to understanding health inequities. Ontario’s public health units collected SDD as part of COVID-19 case management and vaccination activities. This research aimed to identify enablers and barriers to collecting SDD during COVID-19 case management and vaccination.MethodsAs part of a larger mixed-method research study [1], qualitative methods were used to identify enablers and barriers to SDD collection during the COVID-19 pandemic. Purposive sampling was used to recruit participants from Ontario’s 34 public health units. Sixteen focus groups and eight interviews were conducted virtually using Zoom. Interview data were transcribed and analyzed using inductive and deductive qualitative description.ResultsSDD collection enablers included: legally mandating SDD collection and having dedicated data systems, technological and legal supports, senior management championing SDD collection, establishing rapport and trust between staff and clients, and gaining insight from the experiences from local communities and other jurisdictions. Identified barriers to SDD collection included: provincial data systems being perceived as lacking user-friendliness, SDD collection “was not a priority,” time and other constraints on building staff and client rapport, and perceived discomfort with asking and answering personal SDD questions.ConclusionA combination of provincial and local organizational strategies including supportive data systems, training, and frameworks for data collection and use, are needed to normalize and scale up SDD collection by local health units beyond the context of the COVID-19 pandemic.

Protected areas shape the distribution of tourism across rural Europe

Abstract Protected areas (PAs) have expanded rapidly in recent decades to help mitigate the ongoing biodiversity crisis but are under increasing human pressures that jeopardize their conservation effectiveness. Tourism in PAs may galvanize efforts towards biodiversity conservation, but it can also be a major source of threats, leading to multiple adverse social and ecological impacts. Considering the recent Kunming‐Montreal Global Biodiversity Framework, which aims to protect at least 30% of terrestrial ecosystems by 2030, understanding and assessing how and which PAs shape the spatial distribution of tourism is of great importance to biodiversity management and policy. In this study, we used a geospatial data set that describes the location and capacity of tourism accommodation in 81,185 local administrative units (LAUs) covering over 28 countries across rural Europe. After estimating the number of nights spent per LAU, we modelled the influence of PAs on the distribution of tourism throughout Europe while controlling for other social, economic and environmental covariates, but also for spatial autocorrelation. We reveal a positive link between highly protected PAs and the number of nights spent by tourists in LAUs. The attractiveness of these PAs for tourists may pose a conservation paradox, that is, highly protected PAs, which aim to safeguard nature tend to attract a disproportionate number of tourists, which may lead to nature degradation. Read the free Plain Language Summary for this article on the Journal blog.

Experiences of the COVID-19 pandemic on child and adolescent psychiatric wards: multi-methods investigation.

Child and adolescent mental health service in-patient beds are unevenly spread throughout England. Where demand outstrips bed availability, young people may be admitted at-distance or to adult psychiatric wards. The COVID-19 pandemic added pressures to already overstretched services. Understanding experiences during this period is vital to inform strategies for future emergencies. To investigate the impact of the COVID-19 pandemic on admissions to local, at-distance or adult psychiatric units, from the perspectives of young people, parents/carers and healthcare professionals. Multi-methods data were collected from February 2021 to September 2022, as part of the Far Away from Home research programme. A 13-month national surveillance study collected information about admissions to general adolescent units >50 miles from home, out-of-region or to adult psychiatric units. Free-text data from respondents (n = 51) were analysed using content analysis. Interviews with young people (n = 30), parents/carers (n = 21) and healthcare professionals (n = 68) were analysed using thematic analysis. Restrictions during the COVID-19 pandemic affected young people's contact with others; the requirement to self-isolate on admission and following overnight leave felt distressing, and visiting was limited. This disincentivised overnight leave, leading to some discharges being delayed and others feeling rushed and high risk. The COVID-19 pandemic also accelerated the introduction of virtual meetings, enabling community teams and families to be more involved in therapies, meetings and decision-making. Restrictions imposed during the COVID-19 pandemic were often negatively perceived. However, the increased use of technology was felt to be positive, widening inclusion and mitigating some negative effects of distance on admissions.

Barriers to WHO prequalification of similar biotherapeutic insulin.

To identify the barriers preventing manufacturers of similar biotherapeutic human insulin from submitting their products to the World Health Organization (WHO) for prequalification. We used a self-administered questionnaire to collect data from companies producing similar biotherapeutic human insulin. We included questions about the insulin products manufactured, knowledge of WHO prequalification requirements, export of the products and compliance with good manufacturing practices. Companies had the possibility to provide additional relevant information. We sent the questionnaire to 20 manufacturers in total. We evaluated responses and organized the data into themes. We had a response rate of 55% (11/20 companies). Five broad themes emerged: (i)manufacturers and products; (ii)expressions of interest awareness and participation; (iii)need for technical assistance and training; (iv)market and supply chain challenges; and (v)approval for good manufacturing practices. The most important reasons for manufacturers' lack of response to WHO's expression-of-interest invitation were absence of a mechanism to guarantee return on investment, and perceived complexity of prequalification requirements for insulin-similar biotherapeutic products. To encourage greater participation in the WHO prequalification programme, international procurement agencies associated with the programme should consider establishing a platform to enter into advance purchasing agreements with manufacturers. In addition, WHO's Local Production and Assistance Unit should provide companies with ongoing technical assistance on the development of their human insulin products and improvement of their production facilities to comply with the WHO requirements for good manufacturing practices.

An antimicrobial resistance gene situationer in the backyard swine industry of a Philippine City

Antimicrobial resistance (AMR) as a result of antimicrobial overuse and misuse in agriculture is a growing concern, especially in the predominant but poorly regulated backyard or smallholder swine farms of the Philippines. A city-scale surveillance of antimicrobial resistance genes (ARGs) was conducted through selected backyard swine farms to obtain a comprehensive understanding of the AMR situation in the backyard sector of Davao City, Philippines. The ARGs encoding resistance to four antimicrobial classes (β-lactams: blaCTX−M, blaOXA, blaSHV, blaTEM, mecA; quinolones: qnrS and qnr-A2; macrolides: ermA and ermB; tetracycline: tetM) were quantified in swine feces via real-time PCR, and point maps were generated to visualize the ARG geographic distribution. The ARGs bla-TEM, ermB, qnrS, and tetM were detected in all farms at relatively intermediate to high levels, consistently representing the four most used antimicrobial classes in Philippine farms. All the investigated ARGs were present in some local barangay units, indicating potential emergence of AMR hotspots. A 0.5 quantile regression analysis identified specific backyard farm attributes associated with ARG occurrence and diversity, which may influence the ecological spread of the ARGs. These findings provide support for evidence-based guidelines to reinforce a One Health framework for the Philippine National Action Plan to Combat AMR.

Regional development and communication networks: Case study of Western Ukraine

Motives: Communications are the basis of the existence of contemporary civilization. Today, innovation processes are carried out the most intensively, perhaps, in communications. The level of the formation of communication networks largely determines both the preconditions and the contemporary development of areas. Aim: The aim of our research is to analyze the interdependencies between the level of socio-economic development of areas and the formation of their communications on the example of local territorial units of Western Ukraine. Results: The correlation analysis demonstrates significant links between communication networks and the development of areas. It is not always possible to say unequivocally what cause and effect are in a particular case. According to the results of our study, socio-economic development in Western Ukraine has a more significant impact on the functioning of communication networks than communication networks on socio-economic development. Like other natural and socio-economic resources, communication networks are only prerequisites for the area's development. The emergence, perception by the population, and wide spread of new communications depend on some factors, among which an important place belongs to the area's socio-economic development level.

A New Iterative Algorithm for Magnetic Motion Tracking.

Motion analysis is of great interest to a variety of applications, such as virtual and augmented reality and medical diagnostics. Hand movement tracking systems, in particular, are used as a human-machine interface. In most cases, these systems are based on optical or acceleration/angular speed sensors. These technologies are already well researched and used in commercial systems. In special applications, it can be advantageous to use magnetic sensors to supplement an existing system or even replace the existing sensors. The core of a motion tracking system is a localization unit. The relatively complex localization algorithms present a problem in magnetic systems, leading to a relatively large computational complexity. In this paper, a new approach for pose estimation of a kinematic chain is presented. The new algorithm is based on spatially rotating magnetic dipole sources. A spatial feature is extracted from the sensor signal, the dipole direction in which the maximum magnitude value is detected at the sensor. This is introduced as the "maximum vector". A relationship between this feature, the location vector (pointing from the magnetic source to the sensor position) and the sensor orientation is derived and subsequently exploited. By modelling the hand as a kinematic chain, the posture of the chain can be described in two ways: the knowledge about the magnetic correlations and the structure of the kinematic chain. Both are bundled in an iterative algorithm with very low complexity. The algorithm was implemented in a real-time framework and evaluated in a simulation and first laboratory tests. In tests without movement, it could be shown that there was no significant deviation between the simulated and estimated poses. In tests with periodic movements, an error in the range of 1° was found. Of particular interest here is the required computing power. This was evaluated in terms of the required computing operations and the required computing time. Initial analyses have shown that a computing time of 3 μs per joint is required on a personal computer. Lastly, the first laboratory tests basically prove the functionality of the proposed methodology.

Effects of ketamine on frontoparietal interactions in a rule-based antisaccade task in macaque monkeys.

Cognitive control is engaged by working memory processes and high-demand situations like antisaccade, where one must suppress a prepotent response. While it is known to be supported by the frontoparietal control network, how intra- and inter-areal dynamics contribute to cognitive control processes remain unclear. N-Methyl-D-aspartate glutamate receptors (NMDARs) play a key role in prefrontal dynamics that support cognitive control, and its antagonists, such as ketamine, are known to alter task-related prefrontal activities and impair cognitive performance. However, the role of NMDAR in cognitive control-related frontoparietal dynamics remain underexplored. Here, we simultaneously recorded local field potentials and single unit activities from lateral prefrontal (lPFC) and posterior parietal cortices (PPC) in two male macaque monkeys during a rule-based antisaccade task, with both Rule-Visible (RV) and Rule-Memorized (RM) conditions. In addition to altering the E/I balance in both areas, ketamine had a negative impact on rule-coding in true oscillatory activities. It also reduced frontoparietal coherence in a frequency- and rule-dependent manner. Granger prediction analysis revealed that ketamine induced an overall reduction in bidirectional connectivity. Among antisaccade trials, a greater reduction in lPFC-PPC connectivity during the delay period preceded a greater delay in saccadic onset under the RM condition, and a greater deficit in performance under the RV condition. Lastly, ketamine compromised rule coding in lPFC neurons in both RV and RM conditions, and in PPC neurons only in the RV condition. Our findings demonstrate the utility of acute NMDA receptor antagonist in understanding the mechanisms through which frontoparietal dynamics support cognitive control processes.Significance statement A low dose of ketamine is known to induce a transient cognitive control deficit in healthy humans and animals, but it remains unclear whether this deficit is related to a frontoparietal dysconnection. In macaque monkeys performing a rule-based pro- and anti-saccade task, we found that ketamine impaired information coding in frontoparietal neuron, local oscillations and inter-areal synchrony in a rule- and frequency-dependent manner. Notably, under the antisaccade rule, the amount of impairment in task performance could be predicted by the loss in fronto-parietal connectivity in the period just before the monkeys responded. The observations support the utility of NMDA receptor antagonists like ketamine as a tool to understand the role of frontoparietal dynamics in cognitive control.

Developing a set of core items for assessing preparedness in Italy: a Delphi approach

Abstract Background Effective pandemic management relies on preparedness and several tools are available for evaluation. However, due to differences in regional healthcare organization and structures, these may not accurately evaluate Italy’s capacities. This study, part of a project funded by the Italian Ministry of Health, report on the development of an assessment tool capable of evaluating the preparedness to confront pandemics at the regional level based on the actions outlined by the Italian influenza pandemic plan. Methods A desk research was carried out for preparedness evaluation tools, consulting Public Health Agencies, and Google Scholar and Search. Tools evaluation items were extracted, associated with the Italian plan, and screened for relevance and data availability. Selected items were then subjected to a two-round Delphi procedure involving 18 stakeholders from academia, local health services, and national agencies. The agreement was assessed using a 10-point Likert scale, and defined as a mean score ≥8, and consensus as a score standard deviation (SD) ≤1.5. Items with mean score ≥ 8 and SD &amp;gt; 1.5 after the first round were sent to the second round. Results A total of 6 tools were included in the study, from which 303 evaluation items matched the actions of the plan. After the screening phase, 122 indicators were deemed relevant and potentially available and sent to the Delphi procedure. Eighteen (14.8%) items reached both agreement and consensus in the first round, while another fifteen (12.3%) after the second. The 33 items covered all the domains of the national plan, especially Research and Development (21.1%) and Clinical Governance (15.2%). Conclusions The development of a set of core items that are agile, relevant, and readily available was facilitated by the involvement of stakeholders from different sectors. Moreover, adherence to the Italian pandemic plan should ensure that these items are deeply integrated into the unique context of the Italian regions. Key messages • The Delphi process identified a narrow number of evaluation items with great consensus. • Consensus was searched involving stakeholders from central authorities, local units, and academia.

Sense of community, life satisfaction and psychological distress among seniors – HUNT4 study, Norway

Abstract Background Strong sense of community with one’s neighbors may benefit psychosocial well-being. Moreover, local communities with high level of belonging and social cohesion can have a positive impact on public mental health. This study aims to investigate associations between sense of community and life satisfaction - at both an individual and local community level in a Norwegian county. Methods Data from Trøndelag Health Study 4 (HUNT4: 2017-2019) on 22 939 participants were linked to geographic data of residence from Statistics Norway. The basic statistical unit in Norwegian, known as “grunnkrets,” serves to identify participants’ local communities. These units are subdivisions of municipalities, covering geographically contiguous areas that typically include a few hundred inhabitants. This population-based study enables investigation of variation in sense of community, trust, life satisfaction and psychological distress on individual and community level. Results Seniors (median age 70.3 years) with strong sense of community with their neighbors had more than three times higher odds (95%CI 3.08-3.93) of high level of life satisfaction and less than 0.3 times lower odds (95%CI 0.26-0.33) of psychological distress symptoms vs those with low sense of community, adjusted to sociodemographic variables. The average sense of community varied between local communities (N = 284). At this local geographical unit, strong sense of community was associated with high level of trust, enjoying the neighborhood and high life satisfaction. Conclusions The study can inform public health policy to consider development of social infrastructures that bolster sense of community among seniors within neighborhoods. Policy and action plans targeting to increase the overall sense of community in neighborhoods may contribute to create mental health-promoting and age-friendly local communities in Norway. Key messages • At individual level, sense of community with neighbors are associated with life satisfaction and psychological distress among Norwegian seniors. • The average sense of community varies between geographic local areas and are associated with level of trust, enjoying the neighborhood, average life satisfaction, and psychological distress.

Investigating the patterns of air pollution exposure on major cardiovascular events by cluster analysis. Insights from the EP-PARTICLES study on a Polish smog cohort

Abstract Introduction Exposure to air pollution (AP) is a modifiable risk factor for cardiovascular diseases. Aim To analyse the short-term effects of AP on the occurrence of acute coronary syndromes (ACS). Methods The EP-PARTICLES study consists of a retrospective nationwide cohort of Eastern Poland residents (N= 8,077,671). The area is characterized by a specific type of pollution - Polish smog, featuring high concentrations of particulate matter (PM), benzo(a)pyrenes (BaP) and favourable atmospheric conditions of formation. Medical data were collected from the National Health Fund and the Central Statistical Office. The records included sex and age and the causes of hospitalization. The analysis utilized air quality modeling data from the GEM-AQ system, which allowed to provide daily pollution concentration at the level of each LAU (ie. local administrative units, at municipality level), throughout the observation period. We estimated LAU specific associations of AP concentration using quasi-Poisson generalized additive models. We controlled our models for long-term trends and weather conditions. In the second stage, we pooled LAU-specific estimates with a random-effects meta-analysis. The results are presented as % risk ratio (RR), and 95% confidence intervals (95% CIs) for the two-day moving average of AP concentration on the present day and the day after exposure (ie. LAG0-1). Cluster analysis was performed on LAU levels from 19 variables using the k-mens clustering using the Ward minimum variance method. The set of variables included demographic, ecological, socioeconomic, environmental conditions. Results Over the years 2011-20, we noted 2,141,213 hospitalizations due to CVD, including 139,697 ACS cases (45.2% STEMI). The main triggers for ACS were PM2.5 (RRLAG0-1 1.04 95%CI 1.028-1.053), BaP (RRLAG0-1 1.021 95%CI 1.01-1.032). We identified three distinct clusters: Cluster 1 was characterized by high population density and GPD per capita and highest prevalence of atrial fibrillation. Cluster 2 (40% of the entire population) exhibited significantly high variability, characterized by low population density and GPD per capita, the highest prevalence of heart failure, people drinking alcohol and smoking tobacco. Cluster 3 (7% of the entire population) was in the middle but showed the highest prevalence of hypertension, diabetes and renal failure. Cluster 2 inhabited areas with low concentrations of PMs and BaP and demonstrated increased vulnerability to the effects of PM2.5 and BaP from 3% to 5.2% (P&amp;lt;0.001). For details see Figure 1. Conclusions PM and BaP are important factors associated with the occurrence of MACE. AP exposure should be considered in CVD prevention models. Cluster classification helps in risk stratification and prognosis. Adverse effects of AP can be mitigated by attention to improving socio-economic status and hazardous habits.Associations between AP exposure and ACS