Mariusz Lipowski

Mariusz Lipowski


Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

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

Representative Publications

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1 January 2013 in Health Psychology Report
Verified
Journal Article
Open access
Małgorzata LipowskaMałgorzata Lipowska
Małgorzata Lipowska
MLMariusz Lipowski
Mariusz Lipowski
Background Physical attractiveness plays an important part in one’s social functioning. The interest in one’s own appearance have been documented as widespread among the female population, but over the recent years it is more and more often emphasized that concentrating on body appearance concerns men as well. Franzoi and Shields (1984) created the Body Esteem Scale which allows to qualify the subject’s attitude towards his or her own body. The aim of the study was to create a Polish version of the Body Esteem Scale along with the norms for age and sex clusters. Participants and procedure The normalization sample consisted of 4298 participants: 1865 women aged 16 to 80 (M = 29.92; SD = 12.85) and 2433 men aged 16 to 78 (M = 28.74; SD = 11.50). Education levels among the participants were also controlled for. In order to create a Polish version of the Body Esteem Scale, translation was adopted as the adaptation strategy. Like the original one, the Polish scale comprises 35 items grouped into three gender specific subscales. The subscales for women include Sexual Attractiveness, Weight Concern, and Physical Condition, whereas the body esteem of is examined with regards to Physical Attractiveness, Upper Body Strength, and Physical Condition. Results Reliability of subscales was high both for females (Cronbach’s alpha from 0.80 to 0.89) and males (Cronbach’s alpha from 0.85 to 0.88). The given coefficients of reliability cover the original division into subscales adopted by the authors of BES. Conclusions We confirmed high reliability of the Polish version of the Body Esteem Scale, thus we recommend it as a diagnostic tool. Created norms allowed to refer results obtained in the course of research carried out on people with various disorders (e.g. eating disorders or body dysmorphic disorder) with population data for corresponding age brackets.

TLTaofeng Liu
Taofeng Liu
DWDominika Maria Wilczyńska
Dominika Maria Wilczyńska
MLMariusz Lipowski
Mariusz Lipowski
ZZZijian Zhao
Zijian Zhao
The recent curriculum reform in China puts forward higher requirements for the development of physical education. In order to further improve students’ physical quality and motor skills, the traditional model was improved to address the lack of accuracy in motion recognition and detection of physical condition so as to assist teachers to improve students’ physical quality. First, the physical education teaching activities required by the new curriculum reform were studied with regard to the actual needs of China’s current social, political, and economic development; next, the application of artificial intelligence technology to physical education teaching activities was proposed; and finally, deep learning technology was studied and a human movement recognition model based on a long short-term memory (LSTM) neural network was established to identify the movement state of students in physical education teaching activities. The designed model includes three components: data acquisition, data calculation, and data visualization. The functions of each layer were introduced; then, the intelligent wearable system was adopted to detect the status of students and a feedback system was established to assist teaching; and finally, the dataset was constructed to train and test the designed model. The experimental results demonstrate that the recognition accuracy and loss value of the training model meet the practical requirements; in the algorithm test, the motion recognition accuracy of the designed model for different subjects was greater than 97.5%. Compared with the traditional human motion recognition algorithm, the designed model had a better recognition effect. Hence, the designed model can meet the actual needs of physical education. This exploration provides a new perspective for promoting the intelligent development of physical education.

29 November 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
XZXingxing Zong
Xingxing Zong
MLMariusz Lipowski
Mariusz Lipowski
TLTaofeng Liu
Taofeng Liu
MQMeng Qiao
Meng Qiao
QBQi Bo
Qi Bo
Aim: This paper aims to enhance the emphasis of college physical education (P.E.) in the psychological education of P.E. students and provide a reference for the innovation of P.E. teaching methods. Methodology and procedures: On the basis of the Internet of Things (IoT) and a deep-learning algorithm, combined with psychological education, the teaching effect and the influence on learning philosophy are comprehensively evaluated through the construction of teaching evaluation index system for college P.E. students. Results: The theoretical courses of P.E. students in colleges and universities lack the integration of psychological-education concepts. It is found that the new teaching mode not only has a significant effect on improvement of training courses, but also promotes learning enthusiasm and theoretical courses. In the aspect of psychological quality evaluation, emotional-control ability significantly improved, the average score increased from below 60 to above 79, and self-challenge ability and adaptability to adversity also effectively improved. In the evaluation of deep-learning ability, students’ critical thinking ability improved most obviously, and their complex problem-solving ability also improved to some extent. Conclusions: Based on the IoT and machine learning, college P.E. teaching mode can effectively improve students’ psychological quality and ability, effectively improve students’ training and theoretical achievements, and significantly improve their academic achievements. It can also improve students’ self-learning ability. Practical applications: This paper reforms the traditional P.E. teaching mode, effectively demonstrates the hypothesis through practical teaching, designs the teaching evaluation index system of college P.E. students, and improves their learning ability and comprehensive achievements.

TLTaofeng Liu
Taofeng Liu
MLMariusz Lipowski
Mariusz Lipowski
This study was conducted to explore physical education students’ intrinsic motivation and clarify the influence mechanism of cooperative learning methods on learning intrinsic motivation through meta-analysis. In accordance with the Preferred Reporting Items for Systematic Reviews (PRISMA) criteria, we screened literature from the years 2000–2020. The included literature underwent bias analysis on the basis of the five criteria proposed herein. Data were extracted and summarized from the included literature to analyze the causality before and after cooperative learning intervention. Statistical analysis was conducted to determine principal factors affecting physical education students’ learning intrinsic motivation. Simultaneously, the influencing mechanism of cooperative learning on physical education students’ intrinsic motivation was clarified. Results revealed that intrinsic motivation had a high total effect amount. In the experimental group, only three documents determined the significant influence of cooperative learning on physical education students’ intrinsic motivation. Moreover, the time and age differences needed to be considered thoroughly during the intervention. Therefore, cooperative learning intervention can improve physical education students’ intrinsic motivation significantly, and meta-analysis provided a theoretical foundation for applying cooperative learning to the teaching of physical education majors.

1 April 2018 in Experimental Gerontology
Verified
Journal Article
Closed access
AGA. Gmiąt
A. Gmiąt
JJJ. Jaworska
J. Jaworska
KMKatarzyna Micielska
Katarzyna Micielska
JKJ. Kortas
J. Kortas
KPK. Prusik
K. Prusik
EZEwa Ziemann
Ewa Ziemann

Małgorzata LipowskaMałgorzata Lipowska
Małgorzata Lipowska
MLMariusz Lipowski
Mariusz Lipowski
PJPaweł Jurek
Paweł Jurek
AJAnna M. Jankowska
Anna M. Jankowska
PPPaulina Pawlicka
Paulina Pawlicka
The home food environment is critically important for the development of children’s health-related practices. By managing dietary restrictions, providing nutritional knowledge and demonstrating eating behaviours, parents contribute to children’s food preferences and eating patterns. The present study examined nutritional knowledge, eating habits and appetite traits among 387 Polish five-year-old healthy and overfat boys and girls in the context of parental feeding styles and body-fat status. We observed that girls presented healthier eating habits than boys; however, overfat boys had better nutritional knowledge. Children’s body-fat percentage (%BF) was found to be linked with eating behaviours such as low satiety responsiveness and increased food responsiveness in girls as well as low emotional undereating and increased emotional overeating in boys. Our results revealed that overfat mothers, who were more prone to use the encouragement feeding style, rarely had daughters with increased %BF. Parents of overfat girls, however, were less likely to apply encouragement and instrumental feeding styles. Contrary to popular belief and previous studies, overfat women do not necessarily transmit unhealthy eating patterns to their children. Parents’ greater emphasis on managing the weight and eating habits of daughters (rather than sons) probably results from their awareness of standards of female physical attractiveness.