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Background: The aim of this research was to determine relationships between religious commitment and health locus of control (HLC) for the group of students of the University of Physical Education in Warsaw, Poland, including gender and study faculty differences. Material/Methods: Full-time students (n = 247) of the Warsaw University of Physical Education were investigated. Religious Commitment Scale (RCS) and Multidimensional Health Locus of Control Scale (MHLC) were used. Results: Few and weak relationships between religious commitment and health locus of control were found; they were stronger within the group of male and physical education students. Cluster analysis by the Ward agglomeration method resulted in distinguishing three internally homogeneous groups. Conclusions: The research presented in this article should be considered a reconnaissance of the problem. The relationships between investigated variables has not been fully recognized and explained, hence this issue requires further research.
Background: To effectively realise professional tasks, physical education (PE) teachers, physiotherapists and personal trainers should be convinced as to the fact that health depends on their behaviour and actions. The aim of the research was to investigate possible differences in health locus of control (HLC) between faculties, gender and type of physical activity. Material/Methods: The subjects were 241 undergraduates (111 female and 130 male ones) from the faculty of physical education (n = 96), tourism and recreation (n = 74) and physiotherapy (n = 71), who practiced sports (n = 101) or were involved in recreational physical activity (n = 140). The Polish version of the Multidimensional Health Locus of Control Scale (MHLC; Wallston & DeVellis) was applied. Data on physical activity and academic status were collected with a survey prepared by the authors. Results: Results show that Polish undergraduates presented a moderate level of a belief in personal control over their health. MHLC scores were only slightly dependent on students’ gender, faculty and type of physical activity. Conclusions: Comparisons with earlier research data show that greater differences in HLC appear among undergraduates of the same faculties but from different universities than among students from various faculties within one university.
Background: This study represents a review of literature on the relationship between recreational physical activity and the body image. Material/Methods: This research encompasses 39 papers published between 2008 and 2015 that were available in the Academic Search Complete database. Results: The results of comparative, prospective, and experimental research are ambiguous. These data suggest both a positive relationship between the body image and physical activity, i.e. a more positive body image among more active people and an improvement in the body image as a result of regular exercise, and a negative relationship, in particular, a more negative body image in persons engaging in “aesthetic” sports. Conclusions: Apparently, this is determined by the type of physical activity, i.e. recreational vs. sport. In the case of the latter, it is determined by the sport discipline chosen by respondents.
Background: The aim of the study was to determine the speed and failures of perception and attention among female students of the University of the Third Age (U3A) and their links with physical fitness and mood. Material/Methods: The study involved 114 women aged between 50 and 88 years old (M = 68.17) participating in U3A lectures at the University of Physical Education in Warsaw. Perception ability was investigated using Ciechanowicz and Stańczak’s Attention and Perception Test. Physical fitness was assessed with the Fullerton Fitness Test and the Romberg manoeuvre to evaluate the ability to maintain balance. The participants were also assessed with the Matthews, Chamberlain and Jones UWIST Mood Adjective Checklist (UMACL) and the Yesavage Geriatric Depression Scale. Results: Compared with standard values for adults, the subjects had average perception, slightly slower perception speed and lower failures of attention. The perception speed was negatively correlated with the age and the education level, and positively correlated with static balance and lower body strength. Perception failures were positively correlated with age and negatively with the education level and energy levels at the time of the study. No significant correlation was found between attention and age and the education level, physical fitness and mood at the time of the study; none of the indicators of perception ability were correlated with mood and depression indicators during the previous two weeks. Conclusions: Regular physical exercise in elderly people can be used to maintain physical fitness and perception ability.
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