COVID-19: Exercise Behavior of College Students Communicating at Home

Background: During the outbreak and spread of COVID-19, the extension of college students' time spent studying at home changed their physical exercise behavior and affected the physical activity behavior of the whole family.Methods: A questionnaire survey was conducted among 1,582 college students using a specific measurement scale. A total of 305 urban college students were selected as research subjects. SPSS24.0 and AMOS24.0 were used for statistical analysis.Results: During the COVID-19 transmission period, the pair correlation coefficients of exercise behavior, exercise attitude, and family exercise conditions were 0.63, 0.36, and 0.25, respectively. The influence on family exercise behavior is as follows: college students' exercise behavior (0.403), family exercise support (0.329), and college students' exercise attitude (0.257). The most significant influence on family exercise support is college students' exercise attitude (0.509). The regression model of family exercise behavior standardization had 0.74 and 0.44 explanatory power to family exercise behavior and family exercise support, respectively.Conclusions: The individual-level interventions were assessed by considering the interaction between individual exercise behavior and individual factors. In addition, the exercise environment exhibited a regulatory role and should be controlled. At the interpersonal level, the communication of the college students regarding exercise behavior was bidirectional. Exercise support for family members is an important factor affecting two-way communication and has a significant effect. With the development of the exercise behavior theory, the interaction between individuals is the origin of the spread of group behavior. The data suggest that instead of one-way influence two-way influence mechanisms should be proposed to assess the transformation from the individual to group exercise behavior.

Molecular Big Data in Sports Sciences: State-of-Art and Future Prospects of OMICS-Based Sports Sciences

Together with environment and experience (that is to say, diet and training), the biological and genetic make-up of an athlete plays a major role in exercise physiology. Sports genomics has shown, indeed, that some DNA single nucleotide polymorphisms (SNPs) can be associated with athlete performance and level (such as elite/world-class athletic status), having an impact on physical activity behavior, endurance, strength, power, speed, flexibility, energetic expenditure, neuromuscular coordination, metabolic and cardio-respiratory fitness, among others, as well as with psychological traits. Athletic phenotype is complex and depends on the combination of different traits and characteristics: as such, it requires a “complex science,” like that of metadata and multi-OMICS profiles. Several projects and trials (like ELITE, GAMES, Gene SMART, GENESIS, and POWERGENE) are aimed at discovering genomics-based biomarkers with an adequate predictive power. Sports genomics could enable to optimize and maximize physical performance, as well as it could predict the risk of sports-related injuries. Exercise has a profound impact on proteome too. Proteomics can assess both from a qualitative and quantitative point of view the modifications induced by training. Recently, scholars have assessed the epigenetics changes in athletes. Summarizing, the different omics specialties seem to converge in a unique approach, termed sportomics or athlomics and defined as a “holistic and top-down,” “non-hypothesis-driven research on an individual’s metabolite changes during sports and exercise” (the Athlome Project Consortium and the Santorini Declaration) Not only sportomics includes metabonomics/metabolomics, but relying on the athlete’s biological passport or profile, it would enable the systematic study of sports-induced changes and effects at any level (genome, transcriptome, proteome, etc.). However, the wealth of data is so huge and massive and heterogenous that new computational algorithms and protocols are needed, more computational power is required as well as new strategies for properly and effectively combining and integrating data.

Perception and Performance of Physical Activity Behavior after Head and Neck Cancer Treatment: Exploration and Integration of Qualitative and Quantitative Findings

Maintaining or increasing physical activity (PA) may prevent loss of muscle mass and strength after completion of head and neck cancer (HNC) treatment. However, the exercise level of HNC patients may not meet PA guidelines. We aimed to explore HNC survivors’ views on PA, their report of PA, and to compare these with objectively measured PA. Combined qualitative and quantitative data of HNC survivors were explored post-treatment. Data from semi-structured interviews, questionnaires, and objective measurements of PA were collected, analyzed, and integrated. This resulted in the identification of five themes related to prioritizing, day-to-day life, intention, positive feelings, and social support, respectively, in nine HNC survivors (male: n = 5; age: 52–67 years). Objectively measured PA levels were sedentary to low. The lack of intention to increase PA may be related to HNC survivors’ perception that their current activity level is sufficient, despite low levels of measured PA. While some participants feel they need no help with PA, others are insecure about possible harms. Healthcare professionals may be able to help improve PA in HNC survivors with a tailored approach that reduces fear of harm and helps to incorporate higher intensity PA in daily activities.

Effectiveness of additional resistance and balance training and telephone support program in exercise-based cardiac rehabilitation on quality of life and physical activity: Randomized control trial

Objectives To evaluate 20 days and 3 months follow-up effectiveness of cardiac rehabilitation (CR) enhanced by resistance/balance training and telephone-support program compared to usual CR care in improving quality of life, clinical course and physical activity behavior. Design Single-centre randomized controlled trial. Setting Inpatient CR clinic Subjects 116 (76.1 ± 6.7 years, 50% male) patients 14.5 ± 5.9 days after valve surgery/intervention were randomized to intervention group (IG, n = 60) or control group (CG, n = 56). Intervention Additional resistance/balance training (3 days/week) during phase-II CR and telephone-support program during 3-month follow-up. CG patients were provided with usual CR care. Main measures Short Form 36 Health Survey scales, European Quality of Life 5 Dimensions 3 Level Version QoL index, visual analog scale, clinical course, and physical activity behavior assessed with standardized questionnaires. Results IG reported statistically significant higher mental component score (48.5 ± 6.91 vs. 40.3 ± 11.21 at the baseline, 50.8 ± 9.76 vs. 42.6 ± 9.82 after 20 days, 49.4 ± 8.45 vs. 40.5 ± 8.9 after 12 weeks follow up), general health (48.6 ± 3.17 vs. 45.0 ± 2.95 at the baseline, 53.6 ± 3.02 vs. 43.8 ± 2.55 after 20 days, 53.2 ± 3.11 vs. 44.2 ± 3.07 after 12 weeks) and role limitations due to emotional problems (48.5 ± 15.2 vs. 27.7 ± 11.5 at the baseline, 72.7 ± 12.6 vs. 30.5 ± 11.2 after 20 days, 66.6 ± 14.2 vs. 36.1 ± 11.2 after 12 weeks) in all three assessments ( p < 0.05). CG patients had more documented hospital admissions (4 (8%) vs 10 (25%), p = 0.027), atrial fibrillation paroxysms (3 (6.0%) vs. 10 (35.0%), p = 0.011) and blood pressure swings (13 (26%) vs. 20 (50%), p = 0.019). IG patients chose more different physical activities (1.7 ± 0.7 vs. 1.25 ± 0.63, p = 0.002), spent more time being physical active every day (195.6 ± 78.6 vs. 157.29 ± 78.8, p = 0.002) Conclusions The addition of resistance/balance exercises and telephone-support program 12 weeks after to the CR could linked to higher physical activity levels and fewer clinical complications but did not lead to a significant improvement in quality of life.

The Relationships Between Physical Activity Behavior, Daily Experiences, and Well-Being in Everyday Life

A physically active lifestyle has several health benefits in both the short- and long-term. This includes higher levels of emotional and psychological well-being and, in many cases, maintained well-being despite stressful experiences that can have countervailing, negative impacts on health. This symposium presents innovative research that (a) links physical activity to positive and negative events or experiences in middle-aged and older adults, and that (b) uses different assessment and analytical techniques to unpack these links on multiple timescales – between moments, days, and years. Lee and colleagues investigate the influence of daily positive experiences on the likelihood and extent of physical activity. O’Brien and Almeida examine how daily stressor experiences predict engagement in different intensities of physical activity and highlight moderating factors such as perceived stressor control. Puterman and colleagues characterize the real-time associations between physical activity and negative responses to stressful experiences by using intensive, within-day assessment methods and accelerometry data. Lastly, Benson and colleagues report on whether the potential for daily physical activity to protect against negative stressor responses differs with age and changes across the adult lifespan. Together, these papers consider the nature and mechanisms of the relationship between physical activity and everyday experiences (e.g., stressors and positive events). They also underscore the importance of assessing relationships on different timescales to obtain a clearer understanding of intrapersonal and developmental processes. As discussant, Hoppmann will assess the strengths and limitations of these papers, elaborate on underlying and overarching themes, and identify future directions in this field.

Development and Psychometrics of a Theory-Based Physical Activity Assessment Questionnaire for the Pregnant Women (PA2Q-PW)

Backgrounds & Aims: There is evidence that physical activity plays an essential role in preventing pregnancy-related diseases. This study aimed to develop and design a theory-based physical activity assessment questionnaire for pregnant women (PA2Q-PW). Methods: The PEN-3 cultural model provided the theoretical foundations for the four subscales of our designed instrument; knowledge, attitude, nurture, and enabling. The primary questionnaire was designed with 41 items, and the questionnaire was modified according to the experts' reviews. At last, a group of 400 pregnant women participated in a study to calculate the psychometrics of the tool. Results: The highest score was seen in the knowledge subscale of PA2Q-PW, and the value of Cronbach's alpha for the subscales was from 0.89 to 0.97, and the value of ICC was from 0.76 to 0.89. The correlation (CVI & CVR indices) between the experts was satisfactory in all items of PA2Q-PW. The minimum loading factor for varimax rotation in the knowledge subscale was 0.41; the attitude was 0.56, nurtures were 0.38, and enabling was 0.27. Conclusion: PA2Q-PW is the first standard tool based on the PEN-3 cultural model that researchers can utilize to gather data and conduct the desired education interventions to change physical activity behavior in pregnant women during pregnancy.

Effects of the COVID-19 Pandemic on Physical Activity Behavior Across Domains and Settings

Background: COVID-19 restrictions and alterations to daily living (e.g. working from home, caregiving responsibilities) necessitated changes in physical activity (PA) behavior. Purpose: The purpose of this study is to understand how PA within specific domains and behavior settings changed during the COVID-19 pandemic. Methods: An e-survey, conducted April-June 2020, examined changes in PA across domains and settings in a national sample of adults (N=805; M age=38.7 ± 14.9 yrs; 78.0% female). Results: Respondents reported domain-specific increases in household and recreational PA, but decreases in active transportation, occupational PA, and public transportation use. Weekly minutes of PA changed significantly across all behavior settings, with reported increases in home-based, neighborhood, parks/trails, and total PA, and decreases in PA through recreational sports and fitness facilities. Total weekly PA minutes increased by 10.6% (Z= 4.428, p < .000). Those with caregiving responsibilities reported increases in household PA (2=9.82, p=0.007) and PA frequency (2=8.21, p=0.02). Those without caregiving responsibilities were more likely to report increases in sitting (2=20.55, p<0.001). Those working from home reported a larger increase in neighborhood PA (F(1,638)=4.93, p=.027). Those working at a jobsite that also had caregiving responsibilities reported less weekly PA, while those working from home with caregiving responsibilities reported greater weekly PA (F(1, 646) = 4.23, p = .04).