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The issue whether official Polish COVID-19 death statistics correctly reflect the actual number of deaths is a contentious issue in public discourse and an important policy-wise question in Poland although it has not been the subject of thorough research so far. There had been clearly elevated excess mortality-5100 (death rate of 2.3 per 10,000) during the first wave, 77,500 (21.0 per 10,000) during the second one, and 48,900 (13.5 per 10,000) in the third. This study finds that during the second and the third pandemic wave, our data on excess mortality will match very well the somewhat belatedly officially reported COVID-19 deaths if we assume that only 60% of cases were officially detected. Based on principal component analysis of death timing, except for the age bracket below 40, where COVID-19 deaths calculated on the basis of our model explain 55% of excess mortality, for the remaining age groups, combined COVID-19 deaths explain 95% of excess mortality. Based on the share of excess mortality attributable to COVID-19 during the second wave, this infection in Poland caused the death of 73,300 people and not of 37,600 as officially reported. The third wave caused 46,200 deaths instead of the reported 34,700. The first wave was, indeed, as officially reported, very mild, and the number of excess deaths was too low to be used to calculate COVID-19 deaths directly. However, assuming that the detection rate remained comparable to the average in subsequent waves, we can set the number of deaths at 3500 instead of the reported 2100.

The present study assessed patients' metabolic control of phenylketonuria (PKU) during the first 2020 COVID-19 lockdown in Poland. Blood (phenylalanine) Phe results of the tests of 535 patients, performed in 2019 and in the first months of 2020, were analysed. The six-week lockdown period was compared to the preceding six-week period as well as to the two corresponding periods of 2019 (three non-lockdown periods). More patients failed to perform Phe tests in the lockdown period (32.7%) than in non-lockdown periods (15.6%, 15.1%, 17.2%; p < 0.001 for all). The median Phe levels for those patients who performed testing in all the four periods did not differ between periods. However, these patients tended to perform only one test during the lockdown (ORs: 1.43 to 1.60; 95% CI: from 1.01-2.04 to 1.11-2.30, p -value 0.02 to 0.005). Patients who did not take blood during the lockdown (46.7%) performed significantly fewer blood tests in the remaining periods (median : 1 <0-1> vs. 2 <1-4>; p < 0.001). In conclusion, direct assessment of patients' compliance based upon Phe levels during the pandemic lockdown was not possible. Pre-pandemic non-compliant patients frequently failed to perform the test during the lockdown, whereas the previously compliant ones were more likely to perform only one test. This strongly suggests that metabolic control might have worsened.

This study was designed to determine the relation between religion and the motivations of future healthcare professionals to volunteer during the COVID-19 outbreak in Poland. Data were collected from 417 healthcare students via an online questionnaire. The results indicated that although students' religiosity was not a significant predictor of volunteering during the pandemic, it played a key role in determining their motivations to join the fight against COVID-19. There was a significant positive relationship between students' religiosity and their eagerness to commit for the sake of the community rather than for personal or egoistic motives.

The COVID-19 pandemic is a great threat to both physical and mental health as it may lead to psychological stress connected with an economic crisis, threat of unemployment, or fear of losing family members. Emerging data shows that the general public may be vulnerable to the pandemic-related stress and experience frequently prevalent anxiety. A study involving 471 subjects (85.6% female) was conducted online during the COVID-19 pandemic. We used the following scales: Insomnia Severity Index (ISI), Beck Depression Inventory (BDI), Revised University of California, Los Angeles (R-UCLA) Loneliness Scale, and Daily Life Fatigue scale (DLF). Women had higher mean scores of depression, loneliness, and daily life fatigue and more often than males started exercising. Among people professionally active before the pandemic, there were more cases of increased alcohol consumption than among students. No differences in alcohol consumption patterns were found between genders. People living alone had higher scores of loneliness and daily life fatigue compared to those living with someone. Respondents who started taking any new drugs during COVID-19 home confinement had higher outcomes in all questionnaires. During home confinement, high scores of depression, insomnia, loneliness, and everyday fatigue were observed., Competing Interests: The authors declare no conflict of interest.