The Effect of the COVID-19 Pandemic on Self-Reported Health Status and Smoking and Drinking Habits in the General Urban Population.

The coronavirus disease 2019 pandemic created a significant crisis in global health. The aim of the study was to compare the impact of the COVID-19 pandemic on self-rated health status and smoking and alcohol habits. The Bialystok PLUS cohort study was conducted in 2018-2022. A total of 1222 randomly selected city residents were examined and divided into two groups: before and during the COVID-19 pandemic. The participants' lifestyle habits and medical history were collected from self-reported questionnaires. The Alcohol Use Disorders Identification Test (AUDIT) and the Fagerström Test for Nicotine Dependence (FTND) were used to assess the degree of alcohol and nicotine dependence. The survey revealed a reduced frequency of reported allergies vs. an increased frequency of reported sinusitis and asthma; increased incidence of declared hypercholesterolemia and visual impairment; a reduced number of cigarettes smoked per day, lower FTND score, and a greater desire to quit smoking in the next six months; and an increase in hs-CRP and FeNO levels in the population during the pandemic compared to the pre-pandemic population. The COVID-19 pandemic had a measurable impact on the general population's prevalence of certain medical conditions and lifestyle habits. Further research should continue to examine the long-term health implications of the pandemic.

Subjective well-being in non-obese individuals depends strongly on body composition.

While obesity has been correlated with welfare in the general population, there is not much data on the influence of body composition on welfare among the non-obese adult individuals. In this study, a total of 726 non-obese individuals from the general population were analyzed. The mean age was 46.8 ± 15.4 years and 42.1% of participants were male. The anthropometric measurements and dual energy X-ray absorptiometry (DEXA) were done. The mean value for the Satisfaction with Life Scale (SWLS) was 23.09 ± 5.43, for Euro Quality of Life Visual Analogue Scale (EQ-VAS) was 78.0 ± 14.5, and for the Beck Depression Inventory (BDI) was 6.7 ± 6.6. On the SWLS, the higher waist-hip ratio had a negative impact even after adjusting for age, gender, and concomitant diseases. EQ-VAS was inversely associated with android fat distribution and directly associated with muscle mass. BDI value was inversely associated with lower muscle mass, especially in lower limbs. The well-being of women was mainly associated with the distribution of adipose tissue and less with the distribution of muscle tissue-abdominal fat distribution has a particularly negative impact on well-being among women. In contrast, men's well-being depends more on muscle mass and to a lesser extent on the distribution of fat tissue-a positive significant effect has lean mass and a circumference of thigh below gluteal fold.

The first SARS-CoV-2 genetic variants of concern (VOC) in Poland: The concept of a comprehensive approach to monitoring and surveillance of emerging variants.

PURPOSE: We analyzed the SARS-CoV-2 genome using our integrated genome analysis system and present the concept of a comprehensive approach to monitoring and surveillance of emerging variants. MATERIAL/METHODS: A total of 69 SARS-CoV-2 positive samples (with Ct value â€‹≤ â€‹28) were tested. Samples included in this study were selected from 7 areas of eastern Poland. All samples were sequenced on an Illumina MiSeq platform using a 300-cycle MiSeq Reagent Kit v2. BWA was used for reads mapping on the reference SARS-CoV-2 sequence. SAMTools were used for post-processing of reads to genome assembly. Pango lineage and Nexstrain were used to identify variants and amino acid mutations. Statistical analysis was performed with R 4.0.2. RESULTS: This study shows the first confirmed case of SARS-CoV-2 in Poland with the lineage B.1.351 (known as 501Y.V2 South African variant), as well as another 18 cases with epidemiologically relevant lineage B.1.1.7, known as British variant. Supplementary analysis of SARS-CoV-2 sequences deposited in GISAID shows that the share of a new variant can change rapidly within one month. In addition, we show a complete, integrated concept of a networked system for analyzing the variability of the SARS-CoV-2 genome, which, used in the present study, generated data and a variant report within 6 days. CONCLUSION: The analyzed viral genomes showed considerable variability with simultaneous clear distinction of local clusters of genomes showing high similarity. Implementing real-time monitoring of new SARS-CoV-2 variants in Poland is urgently needed, and our developed system is available to be implemented on a large scale.