Physical Activity Levels In Individuals Research Articles

Role of Environmental Quality of Life in Physical Activity Status of Individuals with and without Physical Disabilities in Saudi Arabia.

The promotion of physical activity (PA) in various subgroups of the population such as people with physical disabilities has been spotlighted in the revised guidelines of The World Health Organization (WHO), Geneva, Switzerland. In order to update public health interventions, there is a need to identify factors that may promote or prevent engagement in PA for special subgroups of the population. This study aims to calculate the PA levels of individuals with and without physical disabilities in Saudi Arabia, their assessment of the environmental (EQoL), and the predictive role of EQoL in PA. The International Physical Activity Questionnaire (IPAQ) and the EQoL domain in standardized WHOQoL Questionnaire were administered on both groups of the population. The study sample comprised 116 individuals with physical disabilities and 243 individuals without any form of disability as a control group. A regression analysis was performed to analyze the predictors of PA in both groups. Findings showed that among the individuals with disabilities, older people were more likely to engage in PA as compared to the younger age group (p < 0.05) and males were significantly less likely to meet the PA criteria. Some of the EQoL features such as safety increased the likelihood of PA up to 2.3 times (p < 0.05) in individuals with physical disabilities. In addition, opportunities for leisure activities were a significant predictor of PA among both groups of individuals with and without physical disabilities (p < 0.05). Our findings suggest that upcoming public health interventions should focus on improving various dimensions of EQoL for the promotion of physical activity among individuals with physical disabilities. Additional studies are needed to further explore various sociodemographic and environmental factors which can affect the PA status of disabled groups.

Should We Use Activity Tracker Data From Smartphones and Wearables to Understand Population Physical Activity Patterns?

Researchers, practitioners, and public health organizations from around the world are becoming increasingly interested in using data from consumer-grade devices such as smartphones and wearable activity trackers to measure physical activity (PA). Indeed, large-scale, easily accessible, and autonomous data collection concerning PA as well as other health behaviors is becoming ever more attractive. There are several benefits of using consumer-grade devices to collect PA data including the ability to obtain big data, retrospectively as well as prospectively, and to understand individual-level PA patterns over time and in response to natural events. However, there are challenges related to representativeness, data access, and proprietary algorithms that, at present, limit the utility of this data in understanding population-level PA. In this brief report we aim to highlight the benefits, as well as the limitations, of using existing data from smartphones and wearable activity trackers to understand large-scale PA patterns and stimulate discussion among the scientific community on what the future holds with respect to PA measurement and surveillance.

Investigation of sleep quality according to physical activity levels in individuals with lung cancer

Aim: Lung cancer is a type of cancer that is usually diagnosed late and has a low life expectancy due to its incidence, high mortality, and initial asymptomatic course. Sleep disorders and related fatigue are common complaints for cancer patients. This study aims to examine sleep quality according to physical activity levels in individuals with lung cancer.Methods: This study was carried out between December 2021 and March 2022. Individuals diagnosed with lung cancer in Bolu Abant İzzet Baysal University Faculty of Medicine Chest Diseases Outpatient Clinic were retrospectively analyzed. 100 individuals were included in the study. Individuals diagnosed with lung cancer in the chest diseases department of a tertiary care center were retrospectively analyzed. Physical activity level with the International Physical Activity Questionnaire; sleep quality with the Pittsburg Sleep Quality Index; dyspnea with Modified Medical Research Council Scale; performance status with Eastern Cooperative Oncology Group; functional disability with Karnofsky Performance Status; Pain was evaluated with a numerical rating scale.Results: 52.0% of the individuals included in the study were sedentary. There was no difference between the two groups in terms of mean age (p=0.123), body mass index (p=0.157), disease duration (p=0.342), and length of hospital stay (p=0.273). There was a difference between the two groups in terms of Eastern Cooperative Oncology Group (p=0.001), Karnofsky Performance Status (p=0.001), and total score of Pittsburg Sleep Quality Index (p=0.001).Conclusion: In our study, it was found that the total sleep quality score of the physically active group was better than the sedentary group. Physical activity is a modifiable lifestyle behavior with positive physiological and psychological health consequences and a potential non-pharmacological intervention for poor sleep quality.

Relationship between Perceived Social Support and Sleep Quality among Older Men in Guangdong Province, China: The Mediating Role of Rumination and the Moderating Role of Physical Activity

Background: The mental health status of older men is affected by several factors. Perceived social support, rumination, sleep quality, and physical activity are key factors that affect the mental health status of men over 60 years old. The mechanisms of their interactions have not been fully elucidated. The purpose of this research was to explore the relationship and interaction mechanisms among perceived social support, rumination, physical activity and sleep quality. The differences in physical activity levels of individuals in different characteristics groups were also investigated. Methods: A total of 296 valid questionnaires were collected and the participants had a mean age of 69.94 ± 7.97. The Perceived Social Support (PSS), Ruminative Responses Scale (RRS), Pittsburgh Sleep Quality Index (PSQI), and the International Physical Activity Questionnaire (IPAQ) were administered to older men in Guangdong Province over 60 years old to collect data on perceived social support, rumination, physical activity and sleep quality. The established hypotheses were tested using mediation model and moderation model. The mediating effect of rumination between perceived social support and sleep quality and the moderating effect of physical activity between perceived social support and sleep quality were examined. Results: (1) The findings showed that the levels of physical activity varied significantly based on characteristics variables such as age, perceived age, residence, and amount of housework undertaken. (2) Perceived social support was negatively correlated with rumination and poor sleep quality, and rumination was positively correlated with poor sleep quality. (3) Rumination partially mediated the relationship between perceived social support and sleep quality, with a mediating effect of 36.9%. (4) Physical activity moderated the relationship between perceived social support and sleep quality, with a significant moderating effect observed for moderate-high intensity physical activity compared with low intensity physical activity. Conclusions: Older men who perceived social support reduced rumination level and improved sleep quality. Moderate-high physical activity positively modulated the relationship between perceived social support and sleep quality more effectively than low physical activity level. The present findings can be used to establish recommendations and measures to improve the mental health of older men.

The effect of emotional eating on body weight and eating habits in adults

The aim of this study is to evaluate the effect of emotional nutrition on body weight and eating habits in adults. 2461 volunteers between the ages of 18-and 65 (40.7±13.6 years) participated in this cross-sectional study (M=677, F=1784). Research data were collected with a face-to-face questionnaire. The participants' nutritional habits and status were evaluated with the three-factor eating questionnaire (TFEQ) and a 24-hour dietary recall form. The “International Physical Activity Assessment Questionnaire - Short Form” was used to determine the physical activity level of individuals. Body mass index was calculated by measuring height and body weight. At the end of the study, it was found that 34.5% of the participants were overweight, and 25.1% were obese. The uncontrolled eating and hunger score were significantly higher, whereas it was low in cognitive restraint in individuals who consumed grains as much or more than recommended (p&lt;0.05). And higher cognitive restraint score was found in those who stated that they consumed the milk and dairy products, vegetable and fruit groups as much or more than recommended and the grains less than recommended (p&lt;0.05). In addition, dietary disinhibition (OR=1.142, 95% CI=1.097-1.189), cognitive restriction (OR=1.076, 95% CI=1.050-1.103) and fasting (OR=1.084, 95% CI=1.033-1.137) scores of TEFQ sub-factors been shown to significantly increase the risk of being overweight/obese (p&lt;0.001). These results show that emotional eating has a significant effect on body weight. For this reason, a multidisciplinary approach is required to evaluate the effect of diet therapy and nutrition on the patient and take into account the patient's emotional state, especially in the treatment and control of obesity.

Impact of Recreational Physical Activity And Body Composition On Insulin Resistance In Older Adult Population

Social support in old age has been linked to psychological wellbeing outcomes, such as depressive symptoms. However, insufficient attention has been paid to implications of social support for different domains of psychological wellbeing. In this study, we explored these associations among 797 older adults (mean age = 78.61 years) living in a retirement community in Florida from the ECRC study. Our findings show that measures of social support and connectedness have varying influences on psychological wellbeing. Loneliness was associated with lower life satisfaction (b=- -1.12, p<0.001) and higher depressive symptoms (b=3.52, p<0.001). Higher self-rated social support was associated with higher life satisfaction (b= 1.66, p<0.001) but did not predict depressive symptoms. Depressive symptoms, however, were significantly higher (b=-1.45) among individuals who reported that they don’t have anyone who they can turn to if they feel lonely and want to talk. Feeling lonely also predicted lower positive affects among these older adults (b=-0.65, p<0.001). Similarly, loneliness also predicted higher negative affects (b=1.28, p<0.001). Negative affects were also significantly higher among women (b=-1.15, p<0.001) but lower among those who were living alone (b=-1.06, p<0.001). Overall, our findings underscore the importance of social support and connectedness for psychological wellbeing in later life. This finding is consistent with prior research demonstrating significance of social support in later life for the overall psychological wellbeing of the older adults.

Assessing Social Network Influences on Adult Physical Activity Using Social Network Analysis: A Systematic Review.

Social network analysis (SNA) can measure social connectedness and assess impact of interpersonal connections on health behaviors, including physical activity (PA). This paper aims to systematically review adult PA studies using SNA to understand important social network concepts relative to PA. A search was performed using PsycINFO, MEDLINE, PubMed, and Web of Science. To be included in the search, articles needed to 1) include a measure of PA, 2) conduct an SNA in which specific relationships were measured, and 3) conduct an analysis between social network measures and PA. Key study elements including network design and results were extracted. Data were synthesized to answer 2 questions: 1) how has adult PA been investigated using SNA approaches and 2) how is an adult's social network associated with PA behaviors? A final sample of 28 articles remained from an initial 11085 articles. Network size, homophily, network composition, and network exposure to PA were all associated with individual level PA across studies. Lastly, longitudinal and intervention studies showed a more complex picture of social influence and diffusion of PA behavior. Adults' PA behaviors are influenced by their networks. Capitalizing on this influence, researchers should engage not just individual behavior change but also the social influences present within the person's life.

Associations of obesity, physical activity level, inflammation and cardiometabolic health with COVID-19 mortality: a prospective analysis of the UK Biobank cohort

ObjectivesTo investigate the associations of physical activity level with COVID-19 mortality risk across body mass index (BMI) categories, and to determine whether any protective association of a higher physical activity...

Physical activity level is associated with gait performance and five times sit-to-stand in Parkinson's disease individuals.

Physical activity (PA) level is decreased in individuals with Parkinson´s disease (PD). To increase the PA level improves both motor and non-motor symptoms of this population. It is known that gait performance and five times sit-to-stand (FTSTS) are associated with PA level; therefore, it is of great relevance for rehabilitation purposes to understand whether these variables may predict PA level of individuals with PD. To investigate whether gait performance and FTSTS are predictors of PA level. Cross-sectional study with individuals with idiopathic PD modified Hoehn and Yahr staging scale between 1.0 and 3.0. The gait performance was measured by Functional Gait Assessment (FGA) and PA level was measured by an accelerometer for one week, during day and night through their time spend in locomotion (locomotion time-LT). Multiple linear regression was conducted with gait performance and FTSTS as independent variables and PA level (LT) as dependent variable. Twenty-two participants were included, mean age 64.82 (8.39) and the mean storage of accelerometer time was 9.866min (0.33). Both gait performance and FTSTS have moderate significant correlation with PA level (r = - 0.538 p < 0.01 and r = 0.625 p < 0.001, respectively). The linear regression model with FGA and FTSTS was significant (p < 0.05) and predicted 41% of LT. Gait performance and FTSTS have important interaction with PA level measured by LT in individuals with PD, and it provides insights on the importance of these variables in predicting the PA level of its population.

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

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.

Physical Activity Surveillance in the United States for Work and Commuting: Understanding the Impact on Population Health and Well-being.

To summarize and describe the current US surveillance systems that assess physical activity (PA) for work and commuting. An expert group conducted an environmental scan, generating a list (n = 18) which was ultimately reduced to 12, based on the inclusion of PA and/or sedentary behavior data. The 12 surveys or surveillance systems summarized provide nationally representative data on occupational-level PA or individual-level PA at work, data on active commuting, some are scorecards that summarize workplace health best practices and allow benchmarking, and one is a comprehensive nationally representative survey of employers assessing programs and practices in different worksites. The various surveillance systems and surveys/scorecards are disparate and need to be better analyzed and summarized to understand the impact of occupational-level PA and commuting on population health and well-being, life expectancy, and workforce productivity.

Validity of mHealth devices for counting steps in individuals with Parkinson's disease

BackgroundStep quantification is a good way to characterize the mobility and functional status of individuals with some functional disorder. Therefore, a validation study may lead to the feasibility of devices to stimulate an increase in the number of steps and physical activity level of individuals with Parkinson's Disease (PD). AimTo investigate the validity of mHealth devices to estimate the number of steps in individuals with PD and compare the estimate with a standard criterion measure. MethodAn observational study in a university laboratory with 34 individuals with idiopathic PD. The number of steps was measured using mHealth devices (Google Fit, Health, STEPZ, Pacer, and Fitbit INC®), and compared against a criterionstandard measure during the Two-Minute Walk Test using habitual speed. ResultsOur sample was 82% men with a Hoehn and Yahr mean of 2.3 ± 1.3 and mean walking speed of 1.2 ± 0.2 m/s. Positive and statistically significant associations were found between Google Fit (r = 0.92; p < 0.01), STEPZ (r = 0.91; p < 0.01), Pacer (r = 0.77; p < 0.01), Health (r = 0.54; p < 0.01), and Fitbit Inc® (r = 0.82; p < 0.01) with the criterion-standard measure. ConclusionsGoogleFit, STEPZ, Fitbit Inc.®, Pacer, and Health are valid instruments to measure the number of steps over a given period of time with moderate to high correlation with the criterion-standard in individuals with PD. This result shows that technology such as smartphone applications and activity monitor can be used to assess the number of steps in individuals with PD, and allows the possibility of using this technology for assessment and intervention purposes.

IPAQ-L and CPET Usefulness in a North-Eastern Romanian Population Undergoing Cardiac Rehabilitation

(1) Background: Current guidelines emphasize the importance of regular moderate and/or high intensity aerobic exercises in cardiovascular disease prevention. Our study aimed to evaluate the utility of the International Physical Activity Questionnaire Long Form (IPAQ-L) for its physical activity (PA) quantification in patients with heart failure with reduced ejection fraction. (2) Methods: We conducted a cross-sectional study of 110 patients aged between 34 and 69 years admitted to the Cardiovascular Rehabilitation Clinic. All patients underwent a clinical examination, blood tests, a cycle ergometer exercise stress test and individual assessment of their weekly PA level using the IPAQ-L. (3) Results: Obesity, hypertension and type 2 diabetes were highly prevalent in our study group but did not influence the IPAQ-L results. In terms of physical performance, moderate intensity was the most common level of intensity found in our study group. Regarding the data on the relationship between the IPAQ-L questionnaire and cardiopulmonary exercise testing (CPET) parameters, vigorous PA was correlated with predicted maximal oxygen uptake (p = 0.025) and moderate PA, in addition to walking, were correlated with heart rate reserve (p = 0.005 and p = 0.009, respectively). (4) Conclusions: IPAQ-L can be used for the evaluation of individual PA levels within a cardiovascular rehabilitation program, but cannot substitute for the importance and utility of CPET.

Gamifying accelerometer use increases physical activity levels of individuals pre-disposed to type II diabetes.

Physical activity is important for preventing obesity and diabetes, but most obese and pre-diabetic patients are not physically active. We developed a Fitbit-based game called MapTrek that promotes walking. We recruited obese and pre-diabetic patients. Half were randomly assigned to the control group and given a Fitbit alone. The others were given a Fitbit plus MapTrek. The MapTrek group participated in 6 months of weekly virtual races. Each week, participants were placed in a race with 9 others who achieved a similar number of steps in the previous week’s race. Participants moved along the virtual route by the steps recorded on their Fitbit and received daily walking challenges via text message. Text messages also had links to the race map and leaderboard. We used a Bayesian mixed effects model to analyze the number of steps taken during the intervention. A total of 192 (89%) participants in the control group and 196 (91%) in the MapTrek group were included in the analyses. MapTrek significantly increased step counts when it began: MapTrek participants walked almost 1,700 steps more than the control group on the first day of the intervention. We estimate that there is a 97% probability that the effect of MapTrek is at least 1,000 additional steps per day throughout the course of the 6-month intervention and that MapTrek participants would have walked an additional 81 miles, on average, before the effect ended. Our MapTrek intervention led to significant extra walking by the MapTrek participants.

Mis-reporting of energy intake among older Australian adults: Prevalence, characteristics, and associations with quality of life

ObjectivesMis-reporting is common in dietary assessment, leading to misinterpretation of disease risk and could be important in older adults with increased chronic disease risk. This study investigated the prevalence and characteristics of mis-reporting among older adults and its association with health outcomes including quality of life (QoL). MethodsThe study was conducted in 335 community-dwelling older adults at increased risk for cardiovascular disease, participating in the SCReening Evaluation of the Evolution of New Heart Failure Study dietary substudy. Diet was assessed using 4-day weighed food diaries, QoL measured through Short Form 36, and physical activity assessed using the European Prospective Investigation into Cancer and Nutrition physical activity questionnaire. Dietary mis-reporting was defined based on Goldberg cutoffs, using individual physical activity levels. Odds ratios were determined to establish associations between mis-reporting and health outcomes. ResultsThe prevalence of mis-reporting among older adults was 49.3%, with 44.5% of women mis-reporting their energy intake. The study found under-reporting of energy to be associated with body mass index, specifically being overweight (odds ratio: 3.08; 95% confidence interval [CI], 1.54–6.15) and obese (odds ratio: 6.60; 95% CI, 3.05–4.26), as well as physical inactivity (odds ratio: 0.24; 95% CI, 0.14–0.43). Only physical inactivity predicted over-reporting of dietary intake (odds ratio: 7.52; 95% CI, 1.57–36.0). ConclusionsDietary under-reporting was associated with being overweight, obese, and physically inactive in addition to the absence of comorbidities, reinforcing the need for further research in older adults to factor in dietary mis-reporting for meaningful diet–disease relationship analyses.

Physical Activity Levels of Adult Virtual Football Players

Esports, including virtual football, are a worldwide phenomenon. Yet, little is known about the physical activity levels of individuals engaged in virtual football game play. Therefore, we aimed to perform a preliminary evaluation of the levels of physical activity, sedentarism, and habits of physical training of adults engaged with virtual football in Portugal. This was a cross-sectional investigation based on a structured online survey using the International Physical Activity Questionnaire (IPAQ) and a set of questions regarding habits of physical training. The participants (n = 433) reported spending a median of 5,625 MET-min⋅week−1 being physically active. Still, the participants spent 320 min/day sitting, and 150 min/day practicing virtual football. According to the IPAQ scores, high physical activity levels were reported by 84.5% of the participants, and 87.1% were considered physically active considering the WHO guidelines on physical activity and sedentary behavior. Overall, 60.0% of the participants reported planning their own physical training. Maintaining or improving overall physical health was one of the main reasons for doing physical training (66.7%), with only 6.1% responding being active to improve virtual football performance. Overall, the results showed that virtual football players accomplished the standard recommendations for physical activity, with high levels of physical activity, and encompassing regular physical training focused mostly on health promotion, rather than improved virtual football performance.

Estilo de vida e nível de atividade física de indivíduos portadores de miocardiopatia chagásica

INTRODUÇÃO: A doença de Chagas (DC) constitui uma infecção parasitária causada pelo protozoário flagelado Tripanosoma cruzi. Estimativas apontam a existência de, aproximadamente, cinco milhões de indivíduos infectados, principalmente, na América Latina, com o Brasil datando entre 1,9 a 4,6 milhões de indivíduos sob o mesmo aspecto infeccioso. O desfecho cardíaco configura um dos aspectos mais importantes, com manifestações condizentes à disfunção ventricular sistólica ou diastólica, disfunção autonômica cardíaca e morte súbita. OBJETIVO: correlacionar o estilo de vida e o nível de atividade física de indivíduos portadores de miocardiopatia chagásica (MC). MATERIAL E MÉTODOS: Realizou-se um estudo analítico, de corte transversal, em ambulatório de referência para Miocardiopatias, com abrangência estadual. Utilizou-se formulário próprio construído pelas autoras, o qual contemplava além das variáveis clínicas e demográficas, variáveis relativas à análise do estilo de vida e atividade física dos participantes, sendo esse aplicado em sala de espera, enquanto os sujeitos aguardavam atendimento médico. RESULTADOS: Foram selecionados 74 indivíduos portadores de MC. A média de idade da amostra foi de 61,2 ± 8,5 anos, sendo que 50 (68,0%) indivíduos eram do sexo feminino. Em relação ao nível de atividade física, houve predomínio da categoria “não ativo”, correspondendo a 60 indivíduos (71,0%). O estilo de vida foi classificado como “muito bom” para 41 (55,0%) participantes e “bom” para 22 (30,0%) participantes, não havendo indivíduos alocados na categoria “necessita melhorar” do questionário. CONCLUSÃO: Os resultados obtidos permitem concluir que, de modo geral, o estilo de vida e o nível de atividade física de indivíduos portadores de MC caracterizaram-se como “bom” / “muito bom” e não ativos, respectivamente.

Using Fitbit data to examine factors that affect daily activity levels of college students.

To date, the effect of both fixed and time-varying individual, social, psychological, environmental, and behavioral characteristics on temporal growth trends in physical activity (PA) among younger individuals remains an under-studied topic. In this paper, we address this gap in previous work by examining how temporal growth trends in PA respond to changing social, environmental, and behavioral characteristics using a large sample of college students (N = 692) who participated in the NetHealth project at the University of Notre Dame and from which fine-grained longitudinal data on physical activity and social interaction were collected unobtrusively via the use of wearables for 637 days (August 16, 2015 to May 13, 2017). These data are augmented by periodic survey data on fixed sociodemographic and psychological variables. We estimate latent growth-curve models for daily activity status, steps, active minutes, and activity calories. We find evidence of both a generalized friendship paradox and a peer effect for PA, with the average PA level of study participants' contacts being on average larger than their own, and with this average level exerting a statistically significant effect on individual PA levels. Notably, there was limited evidence of temporal growth in PA across the 637 days of observation with null temporal effects for three out of the four PA indicators, except for daily steps taken. Finally, we find that social, psychological, and behavioral factors (e.g., large network size, high extroversion levels, and more courses taken) are systematically associated with higher PA levels in this sample. Overall, our findings highlight the importance of social, environmental, and behavioral factors (such as peer networks and daily sociability) in modulating the dynamics of PA levels among college students.

Could the minor autohemotherapy be a complementary therapy for healthcare professionals to prevent COVID-19 infection?

Aim: Coronavirus disease (COVID-19) poses a public health threat to the whole world and healthcare professionals also had difficulties in protecting themselves. Ozone therapy is an alternative and complementary treatment method that is theoretically accepted as an inactivated and immunogenic vaccine. We aimed to evaluate the effectiveness of minor autohemotherapy in the COVID-19 pandemic on protection and anxiety in healthcare professionals. Materials and Methods: The minor autohemotherapy was performed on the healthcare professionals’ weekly/six times. A general questionnaire, the Worry and Anxiety questionnaire, and the International Physical Activity Questionnaire-Short Form (IPAQ-SF) were used at the beginning and after 6 weeks from the beginning. Results: The study was started with 89 healthcare professionals and finished with 73 in total. The IPAQ- SF score was 718.11 ± 507.49 (median 583, low) before treatment, and decreased to 462.67 ± 250.65 (median 437, low) after treatment. The WAQ score was 34.79 ± 13.27 (median 36) before treatment and decreased to 22.19 ± 11.22 (median 21) after treatment. The median of the pretreatment scores for both scales was statistically different from the median of the post-treatment scores (p <0.001). Conclusion: None of the healthcare professionals who performed the minor autohemotherapy had become sick or had COVID-19 positive test results. The results of our study reveal that healthcare professionals who were applied minor autohemotherapy worry and anxiety decreased despite decreasing physical activity levels of individuals. [ABSTRACT FROM AUTHOR] Copyright of Annals of Medical of Research is the property of Annals of Medical Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Association between social isolation, level of physical activity and sedentary behavior in pandemic times

Objective: To analyze the association between social isolation (SI), physical activity level (PAL) and sedentary behavior in the university community in pandemic times. Methods: A cross-sectional epidemiological study was carried out from May 7 to June 4, 2020, with 194 participants linked to the Federal University of Jatai (Universidade Federal de Jatai – UFJ), in Goias, Brazil. Data were collected using a form created on Google Forms® and sent to the email addresses of the academic community of UFJ to assess socioeconomic characteristics, lifestyle, body composition, physical activity level, and sedentary behavior, taking into account the periods prior to and during SI. Data were analyzed using descriptive and inferential statistics, with p<0.05 considered significant. Results: The study participants were predominantly women (n=141; 72.6%), 18-27 years old (n=100; 71%), single (n=96; 68%), students (n=110; 78%), and had no pre-existing diseases (n=94; 67%). Increases in the body mass and body mass index (BMI) (p<0.05) were observed during SI, and physical activity downtime increased for all participants, regardless of sex (p<0.05). Conclusion: SI recommended by health managers due to the pandemic caused by COVID-19 was responsible for inducing an increase in body mass and BMI accompanied by an increase in screen time during the week, as well as a decrease in the PAL of individuals belonging to the community of university students of UFJ.