Predisease Physical Activity Level and Current Functional Capacity in Patients With COVID-19: Relationship With Pneumonia and Oxygen Requirement

2021 ◽  
pp. 1-6
Author(s):  
Cuma Uz ◽  
Ebru Umay ◽  
Ibrahim Gundogdu ◽  
Hamid Amini ◽  
Fatma B. Uz ◽  
...  
Keyword(s):  
Physical Activity ◽  
Functional Capacity ◽  
Physical Activity Level ◽  
Short Form ◽  
Activity Level ◽  
Categorical Variables ◽  
Activity Levels ◽  
Oxygen Requirement ◽  
Significant Difference ◽  
Restrictive Measures

Background: During the COVID-19 pandemic, restrictive measures can reduce physical activity. The purpose of this study was to evaluate predisease physical activity and current functional capacity in patients with and without the presence of pneumonia and oxygen requirement in Turkish survivors of COVID-19. Methods: Among the COVID-19 patients admitted to the hospital, 100 patients were selected. Data about predisease physical activity (by short-form International Physical Activity Questionnaire), oxygen requirement and presence of pneumonia, and current functional capacity (by the 6-min walking test) were collected. Continuous and categorical variables were compared with the Mann–Whitney U and χ2 test, respectively (P < .05). Results: The predisease physical activity levels and current functional capacity of patients with pneumonia and oxygen requirement were significantly lower than patients without pneumonia and oxygen requirement (P < .05). However, there was no significant difference between males and females (P > 0.05). Pneumonia and oxygen requirement was more common in the older adults (P < .05). Also, a significant correlation was found between age with predisease physical activity (r = .530, P = .000) and current functional capacity (r = −.346, P = .000) and predisease physical activity level with current functional capacity (r = .523, P = .001). Conclusion: The physical activity level may be related to the severity of COVID-19 disease.

scholarly journals Physical Activity Levels and Mood State during COVID-19 Quarantine among the Kermanshah Population: A Cross-Sectional Online Survey Study

2021 ◽  
Author(s):  
Mohammad Azizi ◽  
Alireza Aghababa ◽  
Rastegar Hoseini ◽  
Hadi Rohani ◽  
Maghsoud Nabilpoor
Keyword(s):  
Physical Activity ◽  
Physical Activity Level ◽  
Mood State ◽  
Short Form ◽  
Regular Physical Activity ◽  
Activity Level ◽  
Activity Levels ◽  
Cross Sectional ◽  
Significant Difference ◽  
Physical Activity Levels

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.

scholarly journals Physical Activity Level and Factors Affecting Exercise Participation among Nigerian Adults with and Without Diabetes

2021 ◽  
Author(s):  
Ezema Charles Ikechukwu ◽  
Mgbeojedo Ukamaka Gloria ◽  
Uchenwoke Chigozie Ikenna ◽  
Ugwueze Vitalis Chinonso ◽  
Uduonu Ekezie Mmanwanne ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Activity Level ◽  
Activity Level ◽  
Activity Levels ◽  
Factors Affecting ◽  
Exercise Participation ◽  
Positive Effects ◽  
Significant Difference ◽  
Physical Activity Levels ◽  
Patients With Diabetes

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.

scholarly journals Effects of Covid-19 pandemic in Turkey: Physical activity, smartphone usage, musculoskeletal system

2021 ◽  
Vol 38 (4) ◽  
pp. 550-556
Author(s):  
Sinem SUNER KEKLIK ◽  
Ayse NUMANOLU AKBAS
Keyword(s):  
Physical Activity ◽  
Neck Pain ◽  
Musculoskeletal System ◽  
Physical Activity Level ◽  
Short Form ◽  
Activity Level ◽  
Smartphone Addiction ◽  
Activity Levels ◽  
Physical Activity Levels ◽  
Waking Up

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.

scholarly journals Criterion validity of two physical activity and one sedentary time questionnaire against accelerometry in a large cohort of adults and older adults

2020 ◽  
Vol 6 (1) ◽  
pp. e000661 ◽  
Author(s):  
Edvard H Sagelv ◽  
Laila A Hopstock ◽  
Jonas Johansson ◽  
Bjørge H Hansen ◽  
Soren Brage ◽  
...  
Keyword(s):  
Physical Activity ◽  
Physical Activity Level ◽  
Sedentary Time ◽  
Short Form ◽  
Vigorous Physical Activity ◽  
Activity Level ◽  
Sitting Time ◽  
Activity Levels ◽  
Metabolic Equivalents ◽  
Level Scale

ObjectivesWe compared the ability of physical activity and sitting time questionnaires (PAQ) for ranking individuals versus continuous volume calculations (physical activity level (PAL), metabolic equivalents of task (MET), sitting hours) against accelerometry measured physical activity as our criterion.MethodsParticipants in a cohort from the Tromsø Study completed three questionnaires; (1) The Saltin-Grimby Physical Activity Level Scale (SGPALS) (n=4040); (2) The Physical Activity Frequency, Intensity and Duration (PAFID) questionnaire (n=5902)) calculated as MET-hours·week-1 and (3) The International Physical Activity questionnaire (IPAQ) short-form sitting question (n=4896). We validated the questionnaires against the following accelerometry (Actigraph wGT3X-BT) estimates: vector magnitude counts per minute, steps∙day-1, time (minutes·day-1) in sedentary behaviour, light physical activity, moderate and vigorous physical activity (MVPA) non-bouted and ≥10 min bouted MVPA.ResultsRanking of physical activity according to the SGPALS and quartiles (Q) of MET-hours∙week-1 from the PAFID were both positively associated with accelerometry estimates of physical activity (p<0.001) but correlations with accelerometry estimates were weak (SGPALS (PAL): r=0.11 to 0.26, p<0.001) and weak-to-moderate (PAFID: r=0.39 to 0.44, p<0.01). There was 1 hour of accelerometry measured sedentary time from Q1 to Q4 in the IPAQ sitting question (p<0.001) and also weak correlations (r=0.22, p<0.01).ConclusionRanking of physical activity levels measured with PAQs appears to have higher validity than energy expenditure calculations. Self-reported sedentary time poorly reflects accelerometry measured sedentary time. These two PAQs can be used for ranking individuals into different physical activity categories supporting previous studies using these instruments when assessing associations with health outcomes.

scholarly journals PHYSICAL ACTIVITY, QUALITY OF LIFE AND BODY IMAGE OF CANDIDATES TO BARIATRIC SURGERY

2018 ◽  
Vol 31 (1) ◽  
Author(s):  
Bruno Leandro de Melo BARRETO ◽  
Jones Silva LIMA ◽  
Diogo Barbosa de ALBUQUERQUE ◽  
Flavio KREIMER ◽  
Álvaro Antonio Bandeira FERRAZ ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Bariatric Surgery ◽  
Body Image ◽  
Physical Activity Level ◽  
Activity Level ◽  
Activity Levels ◽  
Personal Trainers ◽  
Significant Difference

ABSTRACT Background: Physical activity enhances quality of life and body image in obese. Behavioural changes are useful tools to increase life conditions of this population. Aim: To evaluate the physical activity level of candidates to bariatric surgery and its relation with quality of life and body image, when patients are encouraged weekly by personal trainers. ) Method: This is a prospective, interventional and longitudinal study with quantitative analysis. Patients were divided into two groups, control (n=28) and interventional (n= 10). Both groups received physical activity and nutritional recommendations and psychological support. Were used the SF36 and Body Shape questionnaires to assess physical activity level and body image and pedometers to count weekly steps. Patients were followed during 12 weeks. ) Results: Were found significant difference in the domains physical activity (p=0.019), pain (p=0.0001) and health general status (p=0.021). No significant difference in body weight (p=0.095) was noted. Conclusion: When assisted by personal trainers, obese patients can change behavior, increase health quality and physical activity levels and experience less pain. Increase in physical activity, when well structured can benefit these patients.

scholarly journals Comparison of Physical Activity Level From Osteoporosis, Parkinson and Healthy Subjects

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 940-940
Author(s):  
Seong Hyun Moon ◽  
Thurmon Lockhart ◽  
Krupa Doshi
Keyword(s):  
Physical Activity ◽  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Physical Activity Level ◽  
Healthy Subjects ◽  
Activity Level ◽  
Measurement Unit ◽  
Activity Levels ◽  
Significant Difference ◽  
Physical Activity Levels

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.

scholarly journals Do e-athletes move? A study on physical activity level and body composition in elite e-sports

2020 ◽  
Vol 24 (5) ◽  
pp. 259-264
Author(s):  
Akan Bayrakdar ◽  
Yağmur Yıldız ◽  
Işık Bayraktar
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
South Korea ◽  
Physical Activity Level ◽  
Body Height ◽  
The United States ◽  
The Body ◽  
Activity Level ◽  
Activity Levels ◽  
Significant Difference

Background and Study Aim. The aim of this study is to determine the effect of e-sports on physical activity level and body composition. Material and Methods.  The athletes who participated in the study were 19.92± 2.21 years of age, 1.73±0.04 m body height and 78.35±6.52 kg body weight. A total of 137 athletes participated in the study, including 27 from Turkey, 47 from South Korea and 63 from the United States (USA). The data was collected by e-mail from the sports clubs. The athletes who representing their country in international competitions involved in the study. The data obtained were evaluated in the SPSS program. Results.  According to the findings of the study, the body mass index (BMI) of e-sport athletes is 26.03±1.85, the number of physical activity steps is 6646±3400 and the daily e-sport hours are 9.34±1.12. The BMI was determined as USA 26.12, South Korea 26.02 and Turkey 25.84 respectively. The number of physical activity steps was identified as 5255 steps in the US, 7785 steps in South Korea and 7909 steps in Turkey. The daily e-sports hour is set at US 9.63 hours, Turkey 9.29 hours and South Korea 8.97 hours. In comparison of country-based athletes, there was a significant difference between physical activity level and daily e-sports hours at p<0.05. The value of BMI is not different. Although it is not statistically related to the physical activity level and BMI. There was no statistically significant relationship between daily e-sports hours and BMI and physical activity step counts. However, as the time of e-sports increases, BMI increases and the number of physical activity steps decreases. Conclusions.  As a result it is seen in the findings of the research that athletes dealing with e-sports are included in the fat group as a body composition and their daily physical activity steps are low. In addition, according to the results of the research, e-sports are thought to have negative effects on physical health. Thanks to the physical activity programs to be applied to these athletes, it is thought that their body composition and physical activity levels can be improved.

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

2021 ◽  
pp. 200-222
Author(s):  
Melek Güler ◽  
Melek Kozak ◽  
Zehra Certel ◽  
Nazlı Yanar
Keyword(s):  
Physical Activity ◽  
Personal Information ◽  
Short Form ◽  
Coping Styles ◽  
Activity Level ◽  
Male Students ◽  
Activity Levels ◽  
Coping With Stress ◽  
Significant Difference ◽  
Physical Activity Levels

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.

scholarly journals Physical Activity Level and Energy Expenditure of Clinical Physiotherapists and Physiotherapy Educators in Selected Tertiary Health and Educational Institutions in South-West Nigeria

2019 ◽  
Vol 13 (2) ◽  
pp. 1-9
Author(s):  
AYODEJI A. Fabunmi
Keyword(s):  
Physical Activity ◽  
Energy Expenditure ◽  
Physical Activity Level ◽  
Negative Relationship ◽  
Activity Level ◽  
Activity Levels ◽  
Pearson Product Moment Correlation ◽  
Significant Difference ◽  
Physical Activity Levels ◽  
The Mean

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.

scholarly journals Investigation of the relationship between physical activity level and quality of life of university personnel

2017 ◽  
Vol 3 (4) ◽  
pp. 174
Author(s):  
Aslan Aydoğan ◽  
Cevdet Tınazcı
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Physical Activity Level ◽  
Activity Level ◽  
Activity Levels ◽  
Age Group ◽  
University Personnel ◽  
Significant Difference ◽  
Physical Activity Levels

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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