Żaneta Grzywacz

Dr. Żaneta Grzywacz

Faculty of Physical Education and Physiotherapy, Department of Health Biosystems and Food Quality, Opole University of Technology, Opole, Opolskie, Poland
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Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 March 2025 in Nutrients
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DDDamian Dyńka
Damian Dyńka
LRLukasz Rodzen
Lukasz Rodzen
MRMateusz Rodzeń
Mateusz Rodzeń
APAnna Pacholak-Klimas
Anna Pacholak-Klimas
GEGeorgia Ede
Georgia Ede
DUDavid Unwin
David Unwin
With the prevalence of obesity and overweight increasing at an alarming rate, more and more researchers are focused on identifying effective weight loss strategies. The ketogenic diet (KD), used as a treatment in epilepsy management for over 100 years, is additionally gaining popularity as a weight loss method. Although its efficacy in weight loss is well documented, the areas where it may be beneficial to other dietary approaches need to be carefully examined. The objective of this paper is to identify the potential benefits of the KD over alternative dietary weight loss strategies based on a comprehensive literature review. It has been shown that the KD may be more bioenergetically efficient than other dietary strategies, inter alia owing to its effect on curtailing hunger, improving satiety and decreasing appetite (influence on hunger and satiety hormones and the sensation of hunger), inducing faster initial weight loss (associated with lower glycogen levels and reduced water retention), and controlling glycaemia and insulinemia (directly attributable to the low-carbohydrate nature of KD and indirectly to the other areas described). These effects are accompanied by improved insulin sensitivity, reduced inflammation (through ketone bodies and avoidance of pro-inflammatory sugars), reduced need for pharmacological obesity control (the diet’s mechanisms are similar to those of medication but without the side effects), and positive impacts on psychological factors and food addiction. Based on the authors’ review of the latest research, it is reasonable to conclude that, due to these many additional health benefits, the KD may be advantageous to other diet-based weight loss strategies. This important hypothesis deserves further exploration, which could be achieved by including outcome measures other than weight loss in future clinical trials, especially when comparing different diets of equal caloric value.

17 August 2024 in Journal of Clinical Medicine
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DDDamian Dyńka
Damian Dyńka
LRLukasz Rodzen
Lukasz Rodzen
MRMateusz Rodzeń
Mateusz Rodzeń
DŁDorota Łojko
Dorota Łojko
SKSebastian Kraszewski
Sebastian Kraszewski
DUDavid Unwin
David Unwin
The prevalence of nonalcoholic fatty liver disease (NAFLD) is likely to be approaching 38% of the world’s population. It is predicted to become worse and is the main cause of morbidity and mortality due to hepatic pathologies. It is particularly worrying that NAFLD is increasingly diagnosed in children and is closely related, among other conditions, to insulin resistance and metabolic syndrome. Against this background is the concern that the awareness of patients with NAFLD is low; in one study, almost 96% of adult patients with NAFLD in the USA were not aware of their disease. Thus, studies on the therapeutic tools used to treat NAFLD are extremely important. One promising treatment is a well-formulated ketogenic diet (KD). The aim of this paper is to present a review of the available publications and the current state of knowledge of the effect of the KD on NAFLD. This paper includes characteristics of the key factors (from the point of view of NAFLD regression), on which ketogenic diet exerts its effects, i.e., reduction in insulin resistance and body weight, elimination of fructose and monosaccharides, limitation of the total carbohydrate intake, anti-inflammatory ketosis state, or modulation of gut microbiome and metabolome. In the context of the evidence for the effectiveness of the KD in the regression of NAFLD, this paper also suggests the important role of taking responsibility for one’s own health through increasing self-monitoring and self-education.

20 June 2020 in Sustainability
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KSKatarzyna Szwedziak
Katarzyna Szwedziak
EPEwa Polańczyk
Ewa Polańczyk
Żaneta GrzywaczŻaneta Grzywacz
Żaneta Grzywacz
Gniewko NiedbałaGniewko Niedbała
Gniewko Niedbała
WWWiktoria Wojtkiewicz
Wiktoria Wojtkiewicz
An important requirement in the grain industry is to obtain fast information on the quality of purchased and stored grain. Therefore, it is of great importance to search for innovative solutions aimed at the monitoring and fast assessment of quality parameters of stored wheat The results of the evaluation of total protein, water and gluten content by means of near infrared spectrometry are presented in the paper. Multiple linear regression analysis (MLR) and neural modeling were used to analyze the obtained results. The results obtained show no significant changes in total protein (13.13 ± 0.15), water (10.63 ± 0.16) or gluten (30.56 ± 0.54) content during storage. On the basis of the collected data, a model artificial neural network (ANN) MLP 52-6-3 was created, which, with the use of four independent features, allows us to determine changes in the content of water, protein and gluten in stored wheat. The chosen network returned good error values: learning, below 0.001; testing, 0.015; and validation, 0.008. The obtained results and their interpretation are an important element in the warehouse industry. The information obtained in this way about the state of the quality of stored grain will allow for a fast reaction in case of the threat of lowering the quality parameters of the stored grain.

29 January 2023 in Machines
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Michał StosiakMichał Stosiak
Michał Stosiak
PSPaulius Skačkauskas
Paulius Skačkauskas
KTKrzysztof Towarnicki
Krzysztof Towarnicki
Adam DeptułaAdam Deptuła
Adam Deptuła
ADAnna Małgorzata Deptuła
Anna Małgorzata Deptuła
MŁMariusz Łapka
Mariusz Łapka
This paper addresses the impact of mechanical vibrations of different frequencies on a particular type of valve. It has been shown that a neural network can be used to compress measurement data and determine the frequency range that is most important in describing the impact of mechanical vibrations on a micro-hydraulic overflow valve. Later, induction decision trees were used for the generated areas, determining key measurement points. The most important areas of dependence are determined using inductive decision trees in induction. The entropy measure is used to determine the most significant attribute. A modified induction algorithm was used for the comprehensive analyses. The analysis carried out in the paper identified the intervals in which the flow rate plays a decisive role for the entire amplitude and frequency spectrum. An analysis was performed for the 200…900 [Hz] frequency interval of the external driving force, with a harmonic step of 10 [Hz]. The analysis was performed while considering these main valve parameters: the pressure of the overflow valve opening p = 10 [MPa]; flow rate in the valve: 0.6, 0.8 and 1 [dm3/min]; stiffness of valve spring c = 7.49 [N/mm]. Plots were presented and for each plot, the most important four intervals were determined. They are hierarchically ordered in the interval range of the whole frequency spectrum range: (coefficient IV)—the most important; (coefficient III)—important; (coefficient II)—less important; (coefficient I)—least important. A test rig and the results of a study on the effect of mechanical vibration on changes in the amplitude-frequency spectrum of pressure pulsations of a micro-hydraulic system, in which a micro-hydraulic relief valve was subjected to mechanical vibration, are presented.

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Żaneta GrzywaczŻaneta Grzywacz
Żaneta Grzywacz
JJJustyna Jaśniewicz
Justyna Jaśniewicz
AKANNA KOZIARSKA
ANNA KOZIARSKA
DBDorota Borzucka
Dorota Borzucka
EMEdyta Majorczyk
Edyta Majorczyk
Background: The ageing process is associated with a decline in cognitive functions, including eye–hand coordination, attention concentration, and psychomotor reaction time. This study aimed to assess the effectiveness of virtual reality–based therapy in enhancing cognitive functions in seniors. Methods: This study was conducted on 38 cases (29 women and 9 men) with a mean age of 87.2 years, who were divided into two groups: a VR group (with a 4-week, three-time-week training program using the game “Beat Saber”) and a control group (with a standard 4-week exercise program). Assessments of eye–hand coordination and attentional concentration were conducted at the beginning (T0) and the end (T1) of the training. Results: Analysis of eye–hand coordination and attentional concentration showed significant improvement in both groups (T0 vs. T1: p = 0.0002 for the intervention group and p = 0.007 for the control group). However, the effect in the VR group was almost three times greater than in the control group (1.689 vs. 0.615 in D effect). Moreover, in the VR group, an analysis of “good cuts” indicated improvements in both parameters after 4 weeks of VR training. The percentage of correctly received stimuli increased significantly across sessions (p < 0.00001). Furthermore, 84.3% of participants experienced a twofold improvement in performance over the 12 VR sessions (42% vs. 80% accuracy in successful hits). The distribution of results also suggests a positive subjective impact of VR therapy in maintaining mental activity. Conclusions: The findings indicate that VR-related training can support elderly individuals in recovering cognitive function, potentially enhancing their independence and life quality.

12 July 2023 in Environmental Science and Pollution Research
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AHAnna Hnydiuk-Stefan
Anna Hnydiuk-Stefan
JKJolanta Krolczyk
Jolanta Krolczyk
DMDominika Barbara Matuszek
Dominika Barbara Matuszek
ŁBŁukasz Biłos
Łukasz Biłos
Żaneta GrzywaczŻaneta Grzywacz
Żaneta Grzywacz
RRRitu Rai
Ritu Rai