The concept of local development remains a crucial one, especially in the context of European Union membership and its support funds. The multidimensional character of local development makes it a subject of interest not only to economists, but also geographers, sociologists and statisticians. The aim of the paper is to present differences in the level of socio-economic development of semi-urban and rural gminas in Poland and to find clusters of gminas with a similar level of development. Hellwig’s method was used to compare 2,174 gminas, which showed large development disparities. There is a clear boundary between Eastern Poland with Mazowieckie Voivodship, where the country’s capital, Warsaw, is located, and Western Poland. gminas with a high level of development were observed usually on Poland’s Baltic coast and suburban areas of Warsaw, Szczecin, Poznań, Wrocław and Kraków. Low level gminas were mostly situated in the peripheries of the eastern voivodships.

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Sarcopenia in the elderly population is a public health challenge, and there are few data on its prevalence in Europe. In this study, we investigated the prevalence of sarcopenia in the elderly Polish population and its association with the level of obesity and co-existing diseases. We conducted a population-based cross-sectional study involving 823 men and 1177 women aged 65 years and older, randomly selected from the population living in the territory of the Republic of Poland between 2017 and 2020. We analyzed the results of body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-height ratio (WHtR). Risk of sarcopenia was assessed with the simple questionnaire to rapidly diagnose sarcopenia (SARC-F), and sarcopenic obesity risk was defined as the combination of anthropometry and SARC-F results. In addition, we collected disease data with an author questionnaire. The prevalence of risk of sarcopenia was 18.6% (22.3% in women and 13.2% in men), and its incidence significantly increased with age in both sexes. The risk of sarcopenic obesity was more common in women than in men, and it was higher in the older age group, except for sarcopenic obesity diagnosed by the WHR criteria. The group of elderly with concomitant diseases had a higher risk of developing sarcopenia, which emphasizes the need to monitor sarcopenia when concomitant diseases are diagnosed. In both groups, risk of sarcopenia was associated with motor and respiratory system diseases, type 2 diabetes, and neurological diseases. This study highlights that the risk of sarcopenia in the elderly population affects women to a greater extent than men. It is important to identify the elderly at risk of sarcopenia in routine clinical practice to develop long-term prevention strategies.

There is robust evidence that homelessness and the associated life conditions of a homeless person may cause and exacerbate a wide range of health problems, while healthcare for the homeless is simultaneously limited in accessibility, availability, and appropriateness. This article investigates legal frameworks of health care provision, existing knowledge on numbers of homeless to be considered, and current means of health care provision for four EU countries with different economic and public health background: Austria, Greece, Poland, and Romania. National experts investigated the respective regulations and practices in place with desk research. The results show differences in national frameworks of inclusion into health care provision and knowledge on the number of people experiencing homelessness, but high similarity when it comes to main actors of actual health care provision for homeless populations. In all included countries, despite their differences in economic investments and universality of access to public health systems, it is mainly NGOs providing health care to those experiencing homelessness. This phenomenon fits into conceptual frameworks developed around service provision for vulnerable population groups, wherein it has been described as “structural compensation,” meaning that NGOs compensate a structural inappropriateness that can be observed within public health systems.

The challenges of the modern world require transformations in the energy market towards the possible reduction of consumption and greater use of renewable sources. The conducted research of consumers of this market confirms that the behaviour in the field of increased use of renewable energy is burdened with cognitive errors and motivational factors, which makes it difficult to conduct quantitative research. Electricity demand forecasting can be modelled using selected quantitative methods. In this way, not so much the behaviour, but the result of the consumer’s behaviour is predicted. The research presented in the article has been divided into two parts. The aim of the first one is to study the prospects of a greater share of renewable sources in obtaining energy in Poland, based on the attitudes and opinions of consumers on the retail energy market, legal regulations and the energy balance. The aim of the second part is to build forecasts of daily, weekly, monthly and quarterly electricity consumption in Poland, including the prediction of the RES share, using selected machine and deep learning methods. The analyses used the time series of daily electricity consumption in Poland from 2015–2021; the ENTSO-E data was obtained from the cire.pl website. Depending on the adopted forecast horizon, the forecasting method with the lowest MAPE error was exponential smoothing, SARIMA and NNETAR. An evolution of energy consumers’ attitudes towards pro-ecological and pro-social sensitivity and understanding of the importance of RES for the economy was also observed.

The article raises the issue of forecasting prices of broiler chickens. The forecasts were generated on a set of the weekly time series of mentioned prices in the 2011-2017 period. The forecasting methods which were used in this research are adaptive methods: simple random walk model and creeping trend with fixed segments of linear trends equal 5, 7, 9 and 11 periods. The accuracy of forecasts was verified in retrospect by preparing forecast in the past, forecasting errors and graphical analysis. Both the crawling trend model and the random walk model with greater weight take into account observations closer to the forecasted values, which worked well in the case of fairly large distortions of random variations in a series of purchase prices for broiler chickens. Reducing the length of the segment in case of large random fluctuations and breakdowns of the trend allows to obtain smaller forecast errors.

Mazowieckie province is a unique area of Poland. It is characterised by large interregional differences in its internal structure. This is an interesting research area that requires the analysis of socioeconomic development in this region to be conducted in a multidimensional way. The aim of this study is to analyse and evaluate the spatial differentiation of the level of socioeconomic development of rural areas in Mazowieckie province. Iteartive method for linear ordering (modified taxonomic measure of development) was used to determine the level of socioeconomic development. Analyses showed the growing developmental differences between the wealthy areas or the areas getting wealthier and poor areas. The best territorial units (top of the ranking) are located in the Warsaw Metropolitan Area, which is the largest pole of economic growth not only in the Masovian province, but also in the whole country. The second category of municipalities with the highest level of development are the municipalities located along the main routes to the capital. On the other hand, municipalities with the lowest level of development are mainly peripheral regions without good communication with the capital.

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