scholarly journals Inactivity and stress brought about by the covid-19 pandemic: What is the situation with university students?

Author(s):  
Melek Güler ◽  
Melek Kozak ◽  
Zehra Certel ◽  
Nazlı Yanar

The purpose of this study is to examine the physical activity levels of the before and during the pandemic, and the styles of coping with stress according to their physical activity levels, and the styles of coping with stress during the pandemic process according to gender of students Faculty of Sports Sciences. The research group of the study consists of 401 volunteer students (175 female; 206 male). The data were collected used the “International Physical Activity Questionnaire-Short Form (IPAQ-SF)”, and the “Ways of Coping Questionnaire” and personal information form. In the analysis of data; t test was used in pairwise comparisons and ANOVA test was used in multiple comparisons. According to the analysis results; During the Covid-19 pandemic, the physical activity rate decreased in both female and male students compared to the pre-pandemic period, and the physical activity level showed a significant difference in favor of male students according to the total MET score during the pandemic period. All students used the "confident approach" style the highest and the "submissive approach" the least in their coping styles; It was determined that girls used the submissive approach more than boys. A significant difference was found in the sub-dimensions of self-confident, helpless and optimistic approach according to physical activity levels. As a result, it can be said that the way of coping with stress of students with a high level of physical activity also affects positively. In this context, physical activity and exercise can be recommended to students in coping with stress.

2021 ◽  
Author(s):  
Mohammad Azizi ◽  
Alireza Aghababa ◽  
Rastegar Hoseini ◽  
Hadi Rohani ◽  
Maghsoud Nabilpoor

Abstract Background One of the most important consequences of COVID-19 pandemic is anxiety and stress in the general population that can be reduced by regular physical activity. The aim of this study was to estimate the physical activity levels and mood state during covid-19 quarantine among the Kermanshah population. Methods In this cross-sectional study, using the purposeful random sampling method, a total of 2471 subjects ((male (n = 1256) and female (n = 1215)) were selected. To assess the physical activity level from physical activity questionnaire short form (IPAQ-SF) and mood state was measured by the abbreviated form of the Iranian version of the standard POMS questionnaire (Bill Morgan 1979). The descriptive statistic method (mean, standard deviation, and percent), deductive (Chi- square and Spearman's correlation) were used for analyzing the data. Results The results showed that a significant difference was observed between the number of sessions (P = 0.001), intensity (P = 0.001), and duration of exercise (P = 0.001) before and during coronavirus. There are significant positive relationships between low (r = 0.93; P = 0.001) and high (r = 0.673; P = 0.034) levels of physical activity and negative mood state, and a positive relationship between moderate physical activity level (r = 0.82; P = 0.001) and positive mood state. Conclusions It could be determined that the current quarantine has negatively affected the mood state. In general, to prevent COVID-19, regular physical activity is recommended under the health and safety protocols.


Author(s):  
Ezema Charles Ikechukwu ◽  
Mgbeojedo Ukamaka Gloria ◽  
Uchenwoke Chigozie Ikenna ◽  
Ugwueze Vitalis Chinonso ◽  
Uduonu Ekezie Mmanwanne ◽  
...  

Background: Diabetes presents a multifaceted challenge to health systems in Nigeria and beyond. Physical activity is a cornerstone of diabetes management but is often underutilised. Despite the positive effects of physical activity on different dimensions of health to patients with diabetes, most fail to maintain long-term adherence to physical activity programmes. Objectives: This study aimed to determine the physical activity level and factors affecting exercise participation among patients with and without diabetes. Methods: This was a cross-sectional study involving 400 participants recruited by convenience sampling. International Physical Activity Questionnaire (IPAQ) and Exercise Benefit and Barrier Scale (EBBS) questionnaires were used to measure physical activity and perceived benefits and barriers to exercise, respectively. The data collected were analysed using descriptive statistics of percentages and frequency, mean and standard deviation, and independent t-test. The level of significance was set at p<0.05. Results: The majority of the patients with diabetes (71%) had low physical activity levels while 52% of the nondiabetic group were moderately active. There was a significant difference between physical activity levels of patients with diabetes and the nondiabetic group (p<0.05). Physical exertion was reported by both patients with and without diabetes as the greatest barrier to exercise participation. Conclusion: Patients with diabetes in Nigeria have a low level of physical activity and are also faced with certain barriers which limit their participation in exercise programmes. Exercise barrier identification and public awareness on the health benefits of exercise and physical activity in the prevention and management of diabetes should thus be encouraged.


2021 ◽  
Vol 38 (4) ◽  
pp. 550-556
Author(s):  
Sinem SUNER KEKLIK ◽  
Ayse NUMANOLU AKBAS

This study aims to evaluate relationship between physical activity level, smartphone usage, back and neck health during Covid-19 pandemic. Participants between ages of 18-65 were included in study. Smartphone usage was evaluated with Smartphone Addiction Scale-Short Version, physical activity levels with short form of International Physical Activity Questionnaire. Oswestry Disability Index and Neck Bournemouth Questionnaire was used to evaluate back and neck problems. A total of 251 people (179 women, 72 men, age: 28.11±9.49 years, min-max: 18-62 years) participated in study. 134 participants (53.38%) had low physical activity levels; 35 individuals (13.94%) had sufficient physical activity levels while 82 participants (32.66%) were not physically active. A weak positive correlation was found between neck pain and total score of smartphone addiction scale, daily smartphone usage time, daily smartphone check frequency, and first check time after waking up (r=0.199, r=0.149, r=0.132, respectively). A weak negative correlation was found between neck pain and first check time after waking up (r=-0.145). As a result of study, it was observed that physical activity levels were insufficient in majority of individuals who participated in survey. The relationships we expected between physical activity level, smartphone usage characteristics, low back and neck health could not be demonstrated, only weak relationships were found between some features of smartphone use and neck health. We believe that finding solutions to increase physical activity levels of individuals during pandemic period will have both protective effects on health and will prevent problems by affecting musculoskeletal system positively.


2018 ◽  
Vol 4 (4) ◽  
pp. 347-355
Author(s):  
Mehmet YILDIRIM

The aim of this research is to determine the physical activity levels of physical education and sports school students and to examine the physical activity levels according to some demographic characteristics. The objective of the research is composed of 480 students who are studying different programs in Bozok University Physical Education and Sports School in 2017-2018 academic year. The sample of the research is composed of 300 students’ determined random sampling method among the students studying in Bozok University Physical Education and Sports School in 2017-2018 academic year. Demographic information about the students in the survey was obtained with the personal information form and information about the level of participation in physical activity by the International Physical Activity Scale (Short form). Frequency, percentage, cross tables, Chi-Square and ANOVA tests were used in the analysis of the data. As a result of the analyzes; statistically significant differences were found between physical activity levels according to gender, body mass index, education department, sports branch and cigarette use variables (p<.05).


Author(s):  
Ömer Eryiğit ◽  
Serap Mungan Ay

The aim of this study is to examine the physical activity levels of academicians working at the sports science faculties of state and foundation universities. The sample group of the study consists of academicians working at Marmara University and Istanbul Gelişim University. As a data collection tool in research, in addition to the personal information form "International Physical Activity questionnaire", developed by the World Health Organization and adapted to Turkish by Öztürk (2005) was used. In the evaluation of the data, besides descriptive statistics, Chi-Square test was used. As a result of the analysis, a difference was found between the physical activity levels of the academicians working at Marmara University according to their gender, age and monthly income level. No statistically significant difference was found between the gender, age, marital status, weekly lesson hours, university service years, monthly income and body mass indexes and physical activity levels of the academicians working at Istanbul Gelişim University. As a result, it has been determined that the participation levels of the academicians working in the sports science faculties of state and foundation universities differ in terms of some socio-demographic characteristics. <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0770/a.php" alt="Hit counter" /></p>


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 940-940
Author(s):  
Seong Hyun Moon ◽  
Thurmon Lockhart ◽  
Krupa Doshi

Abstract Lifestyle at the habitation immensely affects the progression of various illnesses, such as Osteoporosis and Parkinson’s disease (PD). These disorders lead patients to a sedentary lifestyle and result in significantly less movement compared to the average healthy individual. The combination of these backgrounds escalates the percentage of fall incidents. Quantifying physical activity levels from longitudinal Activities of Daily Living (ADL) data of these disease patients could stipulate intuition of their fall mechanisms. The objective of this study is to compare the osteoporosis, Parkinson's disease, and healthy group’s physical activity level from their ADL. For this study total of eighteen subjects participated (healthy=6, osteoporosis=6, PD=6). The result indicated that the dynamic physical activity level for the healthy subject was 13.2%, the osteoporosis subject was 7.9%, and the PD subject was 7.0%. This indicates that there was a significant decline in physical activity level for the PD compared to healthy subjects (P=0.0024*). Also, a comparison between healthy and osteoporosis subjects showed a significant difference (P=0.0066*). Lastly, the physical activity level of PD and osteoporosis subjects did not have a significant difference among them (P=0.6276). The aim of this study was to evaluate the physical activity level of the osteoporosis, PD, and healthy subjects. The systematic approach of collecting physical activity levels with the Inertial Measurement Unit (IMU) device allowed researchers to collect the quantitative data of ADL. In this experiment, healthy subjects were significantly more physically active compared to osteoporosis and PD patients.


2019 ◽  
Vol 13 (2) ◽  
pp. 1-9
Author(s):  
AYODEJI A. Fabunmi

Background: Physiotherapists are trained in the use of physical activity for health promotion, and therefore are expected to be physically active themselves. Aim of the Study: This study determined the physical activity level and energy expenditure of clinical physiotherapists and physiotherapy educators. Materials and Methods: The research design is cross-sectional survey. Sixty participants were selected using the consecutive sampling technique. A pedometer (Omron) was used to measure the number of steps taken by the participants, the distance covered, and the overall energy expenditure. The number of steps was used to classify the participants’ physical activity levels. The data obtained were analysed using descriptive statistics and frequency, percentages and chi-square inferential statistics, Pearson product-moment correlation, Spearman’s rank correlation, independent t-tests and Mann-Whitney U tests. The alpha level was set at 0.05. Results: The mean age and BMI of all participants were 36.81±7.86 years and 26.16±4.46kg/m2 respectively. The average number of steps taken per day was 8002±3411 and the mean energy expenditure was 248.26±182.92kcal. This study revealed that 21.3% of the participants were sedentary, 27.7% were ‘low active’, 27.7% were moderately active, 10.6% were active and 12.8% were highly active. The Pearson product-moment correlation coefficient showed a significant negative relationship between the number of steps and age (r = -0.292 p= 0.047) and a significant positive relationship between the number of steps and energy expenditure (r = 0.325; p = 0.026), respectively. There was a significant inverse relationship between the number of steps, the energy expenditure and the age of the participants. There was no significant difference in the number of steps per day, PAL and energy expenditure between clinical physiotherapists and physiotherapy educators. Conclusion: Physiotherapists should improve their physical activity levels, as most of them (76.7%) were classified in the low activity level category.


Author(s):  
Mustafa Burak Cağdanlioğlu ◽  
Mürsel Biçer ◽  
Mehmet Vural

The aim of this study is to examine the physical activity levels of amateur and professional football players during the covid-19 pandemic period. For this purpose, 54 amateur female, 69 amateur male and 36 professional male football players participated in the study. The long version of the international physical activity questionnaire (IPAQ) was used to determine the physical activity levels of the participants. SPSS 22.0 (SPSS Inc., Chicago, Illinois, USA) program was used for statistical processing of the data. Values were presented as minimum, maximum, mean, standard deviation, and standard error. Significance level was accepted as p<0.05. Kolmogorov-Smirnov test was used for normality test. One Way Anova and LSD tests were performed to analyze the differences between groups. As a result of the statistical analysis, a significant difference was found in the total MET scores of amateur women and amateur men for home-garden work (p<0.05). A significant difference was found in the transportation section bicycle MET scores of the professional male and amateur female groups (p<0.05). There was no significant difference between the MET scores of the age and sports age groups of the participants (p>0.05). As a result, it can be said that the physical activity levels of amateur women, amateur men and professional men groups are low. <p> </p><p><strong> Article visualizations:</strong></p><p><img src="/-counters-/edu_01/0729/a.php" alt="Hit counter" /></p>


2020 ◽  
Vol 11 ◽  
Author(s):  
Tiego A. Diniz ◽  
Diego G. D. Christofaro ◽  
William R. Tebar ◽  
Gabriel G. Cucato ◽  
João Paulo Botero ◽  
...  

BackgroundThe outbreak of novel coronavirus disease 2019 (COVID-19) has caused a global panic and public concern due to its mortality ratio and lack of treatments/vaccines. Reduced levels of physical activity have been reported during the outbreak, affecting the normal daily pattern.ObjectiveTo investigate (i) the relationship of physical activity level with sleep quality and (ii) the effects of reduction physical activity levels on sleep quality.MethodsA Google form was used to address personal information, COVID-19 personal care, physical activity, and mental health of 1,907 adult volunteers. Binary logistic regression was used to verify the association of physical activity parameters and sleep quality.ResultsInsufficient physical activity levels were a risk factor to have disturbed sleep pattern [OR: 1.28, 95% CI (1.01–1.62)]; however, when the BMI was added to the analysis, there was no more statistical difference [OR: 1.23, 95% CI (0.96–1.57)]. On the other hand, we found that the reduction of physical activity levels was associated with negative changes in sleep quality [OR: 1.73, 95% CI (1.37–2.18)], regardless all the confounders [OR: 1.30, 95% CI (1.01–1.68)], unless when feeling of depression was added in Model 6 [OR: 1.28, 95% CI (0.99–1.66)].ConclusionDisruption in daily physical activity routine, rather than physical activity level, negatively influences sleep quality during the COVID-19 quarantine.


2017 ◽  
Vol 3 (4) ◽  
pp. 174
Author(s):  
Aslan Aydoğan ◽  
Cevdet Tınazcı

AbstractThis study was aimed to investigate the effect of regular physical activity level on quality of life. The sample of the study included 363 personnel working at Near East University during May-June 2015. Data of the study were collected with “Demographic Information Form”, “Short form of International Physical Activity Evaluation Survey” and “Quality of Life Scale SF-36”. Data were analyzed with SPSS package program. Percentage, frequency and chi-square values were calculated and manova, anova and post hoc tests were applied for data analysis in order to determine if there is a significant difference between the variables. According to the results, it was revealed that males are more active than females. It was also figured out that married academic personnels are more active than single academic personnels; single administrative personnels are more active than married administrative personnels. When the quality of lives of academic and administrative personnels are compared, the significant difference in social and mental dimensions was observed in the favor of administrative personnel.When physical activity levels of academic and administrative personnels considered based on their age group; it was found that the most active personnels are 30 and under the age of 30 in both two groups.When quality of life levels of university personnel are considered based on age group; it was revealed that there was a significant difference in social and mental dimensions for 31 and above age group when compared to 30 and below age group.As a result of this research, it was figured out that physical activity levels of males when compared to females and physical activity levels of married participants when compared to single participants are higher. In terms of quality of life, it was revealed that administrative personnel are more healty in social and mental dimensions when compared to academic personnel. When physical activity levels based on age group are considered, the most active participants were 30 and above the age of 30 in both groups. When quality of life of university personnels are compared based on age group, it was revealed that 31 and above age group has higher levels of quality of life in social and mental dimensions when comapred to 30 and below age group. Keywords: Physical activity, university personnel, quality of life.


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