Seasonal Variation in Physical Activity Levels in Healthy Young Adults

2015 ◽  
Vol 47 ◽  
pp. 925
Author(s):  
Leanna M. Ross ◽  
Robin P. Shook ◽  
Junxiu Liu ◽  
Daniel P. O’Connor ◽  
Gregory A. Hand ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Seasonal Variation ◽  
Activity Levels ◽  
Physical Activity Levels

scholarly journals Choroidal Thickness and Volume Modifications Induced by Aerobic Exercise in Healthy Young Adults

2020 ◽  
Author(s):  
Gema Insa-Sánchez ◽  
Lorena Fuentes-Broto ◽  
Alberto Cobos ◽  
Elvira Orduna Hospital ◽  
Francisco Segura ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Physical Exercise ◽  
Choroidal Thickness ◽  
Activity Level ◽  
Enhanced Depth Imaging ◽  
Activity Levels ◽  
Imaging Protocol ◽  
Post Exercise ◽  
Physical Activity Levels

<b><i>Introduction:</i></b> Our aim was to evaluate the changes in choroidal thickness (CT) and volume (CV) following aerobic physical exercise in healthy young adults. <b><i>Methods:</i></b> This study included 72 eyes from healthy volunteers between 22 and 37 years old. Using the International Physical Activity Questionnaire, total physical activity was computed. Measurements using an autorefractometer, ocular biometry, and spectral-domain optical coherence tomography using the Enhanced Depth Imaging protocol were taken. OCT was performed as a baseline measurement and after performing 10 min of dynamic physical exercise (3 and 10 min post-exercise). The choroidal layer was manually segmented, and the CT and CV in different areas from the Early Treatment Diabetic Retinopathy Study grid were obtained. <b><i>Results:</i></b> In healthy adults, at 3 min post-exercise, CT was higher in the subfoveal, the 3-mm nasal, and the 6-mm superior areas. Between 3 and 10 min post-exercise, the CT was reduced in all areas, and in some areas, the values were even smaller than the baseline measurements. The CV values showed changes after exercise similar to those of thickness. The total CV recovery after exercise was related to sex and physical activity level. <b><i>Conclusion:</i></b> Individuals with higher physical activity habits had greater CV at rest than those with lower physical activity levels. During exercise, healthy young people adjust CT and CV. At 3 min post-exercise, CT and CV increase. Women and individuals with greater physical activity levels reduce their total CV more than others during recovery.

Health-Related Physical Activity Levels in Spanish Youth and Young Adults

2014 ◽  
Vol 118 (1) ◽  
pp. 247-260 ◽  
Author(s):  
Armando Cocca ◽  
Jarmo Liukkonen ◽  
Daniel Mayorga-Vega ◽  
Jesús Viciana-Ramírez
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Activity Levels ◽  
Physical Activity Levels ◽  
Youth And Young Adults ◽  
Health Related

scholarly journals SOURCES OF VARIANCE IN DAILY PHYSICAL ACTIVITY LEVELS IN THE SEASONAL VARIATION IN CHOLESTEROL STUDY

1998 ◽  
Vol 30 (Supplement) ◽  
pp. 172 ◽  
Author(s):  
C. E. Matthews ◽  
J. R. Hebert ◽  
P. S. Freedson ◽  
E. Stanek ◽  
I. S. Ockene ◽  
...  
Keyword(s):  
Physical Activity ◽  
Seasonal Variation ◽  
Daily Physical Activity ◽  
Activity Levels ◽  
Physical Activity Levels

scholarly journals Low Physical Activity Levels Are Linked to Early Hypertension Risk in College-Going Young Adults

Healthcare ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1258
Author(s):  
Kalyana Chakravarthy Bairapareddy ◽  
Mariam Mhd Salem Kamcheh ◽  
Ranim Jihad Itani ◽  
Mirna Mohamed ◽  
Heba Ayman Eid Abdellatif Zahran ◽  
...  
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Young Adults ◽  
Waist Circumference ◽  
Body Mass ◽  
Activity Levels ◽  
Hypertension Risk ◽  
College Going ◽  
Physical Activity Levels ◽  
Weekly Physical Activity

Background: Sedentary behaviour and physical inactivity along with body mass are identified as critical determinants of vascular health along with body mass in young adults. However, the relationship between potential physical health and anthropometric variables with high blood Eid pressure remain unexplored in young adults from the United Arab Emirates region. Methodology: We administered a cross-sectional study in young adults assessing their self-reported physical activity levels, anthropometric variables (body mass index and waist circumference) and ambulatory blood pressure. The associations among potential physical health, anthropometric variables and high blood pressure were analysed through logistic regression after necessary transformation. Results: Of 354 participants (176 males, 178 females), we found 17.79% (n = 63) had higher mean arterial pressure. Males (n = 40; 22.73%) had higher risk of hypertension than females (n = 12.92%). Weekly physical activity levels (β = −0.001; p = 0.002), age (β = −0.168; p = 0.005) and gender (β = −0.709; p = 0.028) were found to be more strongly associated with hypertension risk than the body mass index (β = 0.093; p = 0.075), waist circumference (β = 0.013; p = 0.588) and the weekly sitting time (β = 0.000; p = 0.319) of the individuals. Conclusions: Lower physical activity was associated with hypertension risk compared to other modifiable risk factors such as waist circumference, body mass index and sedentary time in college-going young adults. Public health measures should continue to emphasise optimisation of weekly physical activity levels to mitigate vascular health risks at educational institution levels.

scholarly journals Self-Reported Sitting Time Is Associated With Higher Pressure From Wave Reflections Independent of Physical Activity Levels in Healthy Young Adults

2013 ◽  
Vol 26 (8) ◽  
pp. 1017-1023 ◽  
Author(s):  
K. S. Heffernan ◽  
B. J. Tarzia ◽  
A. G. Kasprowicz ◽  
W. K. Lefferts ◽  
M. Hatanaka ◽  
...  
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Sitting Time ◽  
Activity Levels ◽  
Wave Reflections ◽  
Physical Activity Levels

scholarly journals Moderators of Change in Physical Activity Levels during Restrictions Due to COVID-19 Pandemic in Young Urban Adults

2020 ◽  
Vol 12 (16) ◽  
pp. 6392
Author(s):  
Josip Karuc ◽  
Maroje Sorić ◽  
Ivan Radman ◽  
Marjeta Mišigoj-Duraković
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Repeated Measures ◽  
Sport Participation ◽  
Vigorous Physical Activity ◽  
Activity Levels ◽  
Opposite Pattern ◽  
Positive Direction ◽  
Physical Activity Levels ◽  
Urban Adults

This study aimed to investigate moderators of change in physical activity (PA) levels after 30 days (30-d) of restrictions due to the COVID-19 pandemic in young adults. This research is an extension of the CRO-PALS study and analyses for this study were performed on young adults (20–21 y.o., n = 91). Moderate-to-vigorous physical activity (MVPA), sport participation, student and socioeconomic status were assessed pre- and post-30-d restrictions. Differences in MVPA levels were examined using repeated-measures ANOVAs. After 30-d of restrictions, the drop in MVPA in females (−64.8 min/day, p = 0.006) and males was shown (−57.7 min/day, p < 0.00). However, active participants decreased, while non-active peers increased their MVPA level (−100.7 min/day, p < 0.00, and +48.9 min/day, p = 0.051, respectively). Moreover, students and non-students decreased their MVPA level (−69.0 min/day, p < 0.00, and −35.0 min/day, p = 0.22, respectively) as well as sport participants and non-sport participants (−95.3 min/day, p < 0.001, and −53.9 min/day, p < 0.00, respectively). Our results suggest that 30-d of restrictions equally affect females and males where the evident drop in MVPA is seen in both genders. However, active people decreased their PA level during lockdown and the opposite pattern was seen in non-active peers, where restrictions for them can represent an opportunity to change their behavior in a positive direction in order to gain better health status.

scholarly journals App-Based Intervention Combining Evidence-Based Behavior Change Techniques With a Model-Based Reasoning System to Promote Physical Activity Among Young Adults (Active2Gether): Descriptive Study of the Development and Content (Preprint)

2016 ◽  
Author(s):  
Anouk Middelweerd ◽  
Saskia J te Velde ◽  
Julia S Mollee ◽  
Michel CA Klein ◽  
Johannes Brug
Keyword(s):  
Physical Activity ◽  
Young Adults ◽  
Behavior Change ◽  
Activity Levels ◽  
Behavior Change Techniques ◽  
Stepwise Approach ◽  
Model Based ◽  
Reasoning System ◽  
Physical Activity Levels ◽  
Context Specific

BACKGROUND The Active2Gether intervention is an app-based intervention designed to help and encourage young adults to become and remain physically active by means of personalized, real-time activity tracking and context-specific feedback. OBJECTIVE The objective of our study was to describe the development and content of the Active2Gether intervention for physical activity promotion. METHODS A systematic and stepwise approach was used to develop the Active2Gether intervention. This included formulating objectives and a theoretical framework, selecting behavior change techniques, specifying the tailoring, pilot testing, and describing an evaluation protocol. RESULTS The development of the Active2Gether intervention comprised seven steps: analyzing the (health) problem, developing a program framework, writing (tailored) messages, developing tailoring assessments, developing the Active2Gether intervention, pilot testing, and testing and evaluating the intervention. The primary objective of the intervention was to increase the total time spent in moderate-vigorous physical activity for those who do not meet the Dutch guideline, maintain physical activity levels of those who meet the guideline, or further increase physical activity levels if they so indicated. The theoretical framework is informed by the social cognitive theory, and insights from other theories and evidence were added for specific topics. Development of the intervention content and communication channel resulted in the development of an app that provides highly tailored coaching messages that are framed in an autonomy-supportive style. These coaching messages include behavior change techniques aiming to address relevant behavioral determinants (eg, self-efficacy and outcome expectations) and are partly context specific. A model-based reasoning engine has been developed to tailor the intervention with respect to the type of support provided by the app, send relevant and context-specific messages to the user, and tailor the graphs displayed in the app. For the input of the tailoring, different instruments and sensors are used, such as an activity monitor (Fitbit One), Web-based and mobile questionnaires, and the location services on the user’s mobile phone. CONCLUSIONS The systematic and stepwise approach resulted in an intervention that is based on theory and input from end users. The use of a model-based reasoning system to provide context-specific coaching messages goes beyond many existing eHealth and mHealth interventions.

scholarly journals A STUDY OF PHYSICAL ACTIVITY LEVELS AND QUALITY OF LIFE IN YOUNG ADULTS DURING THE COVID-19 PANDEMIC

2021 ◽  
Vol 74 (6) ◽  
pp. 1405-1408
Author(s):  
Mariia A. Ovdii ◽  
Kateryna M. Solomakha ◽  
Mykola O. Yasynetskyi ◽  
Nataliia P. Ponomarenko ◽  
Yurii M. Rydzel
Keyword(s):  
Quality Of Life ◽  
Physical Activity ◽  
Young Adults ◽  
Short Form ◽  
Activity Levels ◽  
Role Functioning ◽  
Physical Activity Levels ◽  
Insufficient Physical Activity ◽  
The Impact

The aim: To investigate the impact of the COVID-19 pandemic on the level of physical activity and quality of life in young adults. Materials and methods: A survey of 327 young people aged 18-25 years was conducted; the SF-36 (Medical Outcomes Study-Short Form) questionnaire was used to determine the quality of life; a questionnaire taking into account the WHO Global Recommendations on Physical Activity for Health in order to determine the level of physical activity was applied. Results: Young adults men 88 (27%) and 239 women (73%), mean age 21.4±1.8 y.o., the survey showed that 52% of those studied did not engage in physical activity at all, 28% had insufficient physical activity, only 20% had an adequate level of physical activity. There was a decrease in all quality of life indicators during the pandemic period compared to the previous period, especially the physical role functioning indicator (p = 0.0002), general health (p = 0.0004), emotional role functioning indicator (p = 0.0001) and mental health indicator (p = 0.0004). Conclusions: The COVID-19 pandemic has had a significant impact on the quality of life and physical activity levels of young adults and most of this is due to the restrictive measures of the pandemic.

Sign in / Sign up

Export Citation Format

Share Document