CLINICAL EFFECT OF PHYSICAL EXERCISE ON DISEASE PREVENTION IN COLLEGE STUDENTS

ABSTRACT Introduction: College students face increasing pressure in all aspects of study and life. They urgently need a way to relieve stress. Physical exercise is the best choice for college students to relieve stress. Objective: To explore the relationship between physical exercise and disease prevention in college students. Methods: The article conducts a logistic regression analysis of physical exercise in college students and analyzes the relationship between the physical exercise factors and the occurrence of physical diseases. Results: The incidence of disease in students participating in physical exercise is low. The prevalence of diabetes, obesity, and hyperlipidemia decreased with the increase of physical activity intensity. Conclusions: Diligently participation in physical exercises can help college students resist diseases. Level of evidence II; Therapeutic studies -investigation of treatment results.

Objectively-measured step cadence and walking patterns in a rural African setting: a cross-sectional analysis

Objectives To investigate free-living, accelerometry-derived step cadence and walking strategy parameters in 263 adult women (19-56 years) within a rural African setting. Participants were categorised into weight groups: Under-Normal Weight (UW/NW: <25 kg.m−2), Overweight-Obese (OW/OB: ≥25 kg.m−2). From the minute-by-minute uni-axial accelerometry data, outcomes describing physical activity intensity, step volume, step cadence and step bouts were extracted. In addition, walking pattern parameters for step bout length and step cadence were determined. Results Average step volume was 13568 steps.day−1, and >85% of participants were classified as active-to-highly-active. Overall, ≈45% of daily steps was accumulated in the low-to-moderate intensity range. Peak cadence indices were higher in the UW/NW group (p≤0.0112). For both groups, 75% of steps were accumulated in bouts >15 minutes, and 95% of bouts were accumulated at 1-39 steps.minute−1. The UW/NW group employed a more varied step cadence, and higher cadences contributed more to step accumulation than the OW/OB group (p≤0.05). There were no significant group differences in bout length strategy parameters (p≥0.0861). Despite no difference between the weight groups in step volume, there were differences in some step cadence indices which reflect higher step intensities, and in cadence strategies chosen to accumulate steps.

Physical Activity Levels in Physical Education Lessons at Singapore Primary School

Physical education (PE) lessons are the appropriate occasions to promote physical activity for children. Although the moderate-to-vigorous physical activity (MVPA) levels during PE lessons were investigated in several countries, MVPA levels during PE lessons were never reported at Singapore primary schools. Therefore, the present study aimed to investigate physical activity intensity levels during PE lessons at a Singapore primary school. A total of 93 students (40 girls) voluntary participated in the study: 28 in Grade 1, 39 in Grade 4, and 26 in Grade 6. They were asked to wear an accelerometer on their non-dominant hand in two PE lessons to measure physical activity levels objectively. They also completed questionnaires on their experiences during the PE lessons. The average of the MVPA levels time (%) in the scheduled lesson time across the three grades was 46.98 ± 5.25%, but the average of the MVPA levels time (%) in the actual lesson time was 69.74 ± 7.31%. These results indicated that it would be possible to achieve the recommended MVPA time in PE lessons. The findings of this study would be useful for PE teachers to reflect whether their PE lessons are efficient to promote primary school student’s physical activity levels.

Impact of Early-Commenced and Continued Sports Training on the Precuneus in Older Athletes

Intervention studies on sedentary older adults have demonstrated that commencing physical exercise at an older age has a positive effect on brain structure. Although this suggests that older athletes with lifelong sports training have larger gray matter volume (GMV) in some brain regions compared to age-matched non-athletes, evidence in the literature is scarce. Moreover, it remains unclear whether a larger GMV is associated with training intensity or period of training in life. To address these gaps in the literature, we compared regional brain GMV between 24 older athletes (mean age, 71.4 years; age at the commencement of sports training, 31.2 years, continuous sports training, 40.0 years; current training time, 7.9 h/week) and 24 age-matched non-athletes (mean age, 71.0 years). The period of sports training and the current training time of the athletes were assessed. Both groups were evaluated for physical activity intensity as well as cognitive and motor performance. Although no group differences were noted in cognitive and motor performance, athletes reported higher physical activity intensity than non-athletes. Whole-brain structural analysis revealed a significantly larger GMV in several brain regions in athletes. Notably, the GMV of the precuneus in athletes was positively correlated with earlier commencement of sports training and training duration but was negatively correlated with current training time. Our findings demonstrate that early-commenced and continued sports training predicts structural maintenance of the precuneus in old age. Our results also suggest that excessive training time in old age may have a negative impact on the GMV of the precuneus; thereby delineating how the precuneus is associated with lifelong sports training in older athletes.

The relationship between physical activity intensity and volume on prospective falls in older adults

The benefits of Physical Activity (PA) for older adults have been well documented relative to several physiological and neuromuscular factors, but the direct relationship of PA to fall incidence is unclear. In particular, the influence of the intensity and volume of habitual activities of daily living is poorly understood. The purpose of this study was to evaluate the influence of general PA intensity and overall volume on prospective falls in older adults. The PA of 134 participants was recorded using accelerometers (ActiGraph-GT3X+) over 7 consecutive days. Intensity was classified as light, moderate and vigorous by step frequency. The activity of all participants was graded as sedentary to low intensity, no participant exhibited activity in the vigorous category. During the following 12-months, participants maintained a daily falls diary and completed monthly phone calls to monitor fall incidence. Responses were used to categorize participants as fallers or non-fallers. Eighteen participants experienced one or more falls during the 12-month period. There was no statistical difference between fallers and non-fallers in either total step count or the percentage of time spent in sedentary or light PA. While previous reports suggest that many falls occur during light PA, our results do not suggest that greater volumes of low intensity activities alone results in greater fall incidence. However, we suggest this result may be influenced by physical stimuli participants received within the larger overall study design including a session of repeated exposure to forward loss of balance.

Monitoring Physical Activity Intensity During Pregnancy

For apparently healthy pregnant women, regular physical activity is recommended. The American College of Obstetricians and Gynecologists (ACOG) created recommendations for physical activity and exercise during pregnancy in 1985. At that time, pregnant women were advised to not exceed a heart rate of 140 beats per minute with physical activity. The heart rate recommendation was subsequently removed with the recommendations published in 1994, 2002, and 2015. In 2020, the ACOG updated its recommendations on physical activity for pregnant and postpartum women. The recommendation included exercising at a “fairly light to somewhat hard” perceived intensity and at less than 60–80% of age-predicted maximum heart rate, usually not exceeding a heart rate of 140 beats per minute. Women often seek advice from healthcare providers on physical activity during pregnancy, yet providers report concern about giving appropriate physical activity guidance. This paper summarizes the key scientific literature on monitoring absolute and relative exercise intensity in relation to the current ACOG recommendations, providing background on intensity-related concepts used in the recommendation. This paper also provides practical guidance to assist healthcare providers in relaying this information to pregnant women.

Time-Use and Spatio-Temporal Variables Influence on Physical Activity Intensity, Physical and Social Health of Travelers

Using a multi-dimensional three-week household time-use and activity diary, this study aims to investigate the interaction between time-use and activity travel participation, built environment, leisure-time physical activity, travel parameters, and physical intensity on physical and social health. The relationship between time-use and activity travel participation is complex. Therefore, physical activity (PA) intensity is assumed to intermediate the relationship between endogenuous and exogenous variables. This study use a comprehensive set of data that was collected at a household level for twenty-one (21) consecutive days. A total of 732 individuals and 191 households were recorded, representing 0.029% total population of Bandung Metropolitan Area (BMA). The data analyzed with descriptive and linear regression analysis using Statistical Package for Social Sciences SPSS version 26.0.0 software (IBM: Armonk, NY, USA). An advanced model, such as the hierarchical Structural Equation Model (SEM), is used to validate the relationship between activity patterns and health parameters. The estimated results indicate that a minute increase in public transport mode has an 8.8% positive correlation with physical health and 9.0% with social health. Furthermore, an increase in the one-minute duration of in-home maintenance and out-of-home leisure activities are positively correlated by 2.9% and 3.2%, respectively, with moderate-intensity PA and by 4.5% and 1.8% strenuous-intensity PA. Additionally, high accessibility and availability of basic amenities at a walkable distance and using auxiliary time in social activities are significantly correlated with better physical and social health. Moreover, this study adopted multidisciplinary approaches for better transport policy and a healthier society with a better quality of life.

Comparison Of Chest And Wrist Based Actigraphy In Pulmonary Arterial Hypertension

Introduction Activity trackers for clinical trials and remote monitoring are appealing as they provide objective data outside of the clinic setting. Algorithms determine physical activity intensity and count steps. Multiple studies show physical inactivity in pulmonary arterial hypertension (PAH). There are no studies comparing different activity trackers worn on different parts of the body in PAH. We had patients with PAH simultaneously wear two different accelerometers, compared measures between the two devices, and correlated the measures with standard clinical metrics in PAH. Methods This was a single-center, prospective observational study. Daily physical activity and daily total steps were measured using Actigraph GT9X Link and MC10 Biostamp nPoint for 5-10 days. Actigraph was worn on the non-dominant hand and the MC10 Biostamp nPoint was worn on the chest and leg with disposable adhesives. Results Twenty-two participants wore both accelerometers &gt;12 hours/day for an average 7.8 days. The average activity time measured by Actigraph was significantly higher than that measured by MC10 (251 +/- 25 minutes vs 113 +/- 18 minutes, p = 0.0001). Actigraph’s algorithm reported more time in light activity than moderate (190 +/- 62 minutes vs 60 +/- 56 minutes, p = 0.0001). REVEAL 2.0 scores correlated highly with activity time measured using either device. Invasively measured hemodynamics within 7 days did not correlate with activity time or daily steps. Conclusion Different activity trackers yield discordant results in PAH patients. Further studies are needed in determining the best device, optimal wear time, and different thresholds for activities in chronic diseases.