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

Introduction: Our aim was to evaluate the changes in choroidal thickness (CT) and volume (CV) following aerobic physical exercise in healthy young adults. Methods: 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. Results: 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. Conclusion: 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.

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Seasonal Variation in Physical Activity Levels in Healthy Young Adults

Medicine & Science in Sports & Exercise ◽

10.1249/01.mss.0000479240.89278.5f ◽

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

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

Perceptual and Motor Skills ◽

10.2466/10.06.pms.118k16w1 ◽

2014 ◽

Vol 118 (1) ◽

pp. 247-260 ◽

Cited By ~ 15

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

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

Healthcare ◽

10.3390/healthcare9101258 ◽

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.

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Trends in Self-Reported Sitting Time by Physical Activity Levels Among US Adults, NHANES 2007/2008–2017/2018

Journal of Physical Activity and Health ◽

10.1123/jpah.2021-0221 ◽

2021 ◽

Vol 18 (S1) ◽

pp. S74-S83

Author(s):

Emily N. Ussery ◽

Geoffrey P. Whitfield ◽

Janet E. Fulton ◽

Deborah A. Galuska ◽

Charles E. Matthews ◽

...

Keyword(s):

Physical Activity ◽

Sedentary Behavior ◽

Physical Inactivity ◽

Premature Mortality ◽

Linear Increase ◽

Sitting Time ◽

Point Estimate ◽

Activity Levels ◽

Physical Activity Levels ◽

Active Adults

Background: High levels of sedentary behavior and physical inactivity increase the risk of premature mortality and several chronic diseases. Monitoring national trends and correlates of sedentary behavior and physical inactivity can help identify patterns of risk in the population over time. Methods: The authors used self-reported data from the National Health and Nutrition Examination Surveys (2007/2008–2017/2018) to estimate trends in US adults’ mean daily sitting time, overall, and stratified by levels of leisure-time and multidomain physical activity, and in the joint prevalence of high sitting time (>8 h/d) and physical inactivity. Trends were tested using orthogonal polynomial contrasts. Results: Overall, mean daily sitting time increased by 19 minutes from 2007/2008 (332 min/d) to 2017/2018 (351 min/d) (Plinear < .05; Pquadratic < .05). The highest point estimate occurred in 2013/2014 (426 min/d), with a decreasing trend observed after this point (Plinear < .05). Similar trends were observed across physical activity levels and domains, with one exception: an overall linear increase was not observed among sufficiently active adults. The mean daily sitting time was lowest among highly active adults compared with less active adults when using the multidomain physical activity measure. Conclusions: Sitting time among adults increased over the study period but decreased in recent years.

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Physical Activity Levels of the Young Adults in an Economically Developing Country: The Turkish Sample

Journal of Human Kinetics ◽

10.2478/v10078-009-0028-z ◽

2009 ◽

Vol 22 (1) ◽

Cited By ~ 2

Author(s):

Ayda Karaca ◽

Emine Caglar ◽

Şükrü Cinemre

Keyword(s):

Physical Activity ◽

Young Adults ◽

Developing Country ◽

Activity Levels ◽

Physical Activity Levels

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Correlations of objective and self-report assessment of physical activity in twins: insights from the AUTBACK study.

10.1101/317305 ◽

2018 ◽

Author(s):

Keng Yew Soh ◽

Marina B Pinheiro ◽

Martin Mackey ◽

Katrina Scurrah ◽

Adrian Bauman ◽

...

Keyword(s):

Physical Activity ◽

Vigorous Physical Activity ◽

Self Report ◽

Sitting Time ◽

Activity Levels ◽

Pair Correlations ◽

Physical Activity Levels ◽

Genetic And Environmental Factors ◽

Spearman’S Correlation ◽

Activity Questionnaire

Aim: To investigate the influence of genetic and environmental factors on physical activity levels. Methods: Data from 134 twins from Twins Research Australia, self-report and objective measures of physical activity were obtained by the International Physical Activity Questionnaire (IPAQ) (n = 110) and Actigraph (n = 120), respectively. Correlations were calculated for twin pairs stratified by zygosity (Monozygotic, MZ; Dizygotic, DZ) and using Spearman's correlation (rs) Results: Within-pair correlations were usually higher in MZ for the Actigraph (rs ranging from 0.34 [0.0 to 0.57] to 0.48 [0.22 to 0.68]) compared to IPAQ (rs ranging from -0.15 [-0.44 to 0.17] to 0.52 [0.25 to 0.72]. Correlations in DZ were lower for the Actigraph (rs ranging from -0.03 [-0.55 to 0.51] to 0.16 [-0.41 to 0.64]) compared to IPAQ (rs ranging from -0.11 [-0.59 to 0.43] to 0.50 [-0.01 to 0.81]). Correlations between Actigraph and IPAQ for all individuals were small for sedentary vs sitting time (rs = 0.28) and vigorous physical activity (rs = 0.27), but moderate for total physical activity (rs = 0.35). Conclusion: Within-family correlation of physical activity levels depends on the assessment, with less consistent results when its assessed by self-reported methods.

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Do physical activity, sitting time and body mass index affect fertility over a 15-year period in women? Data from a large population-based cohort study

Human Reproduction ◽

10.1093/humrep/dez300 ◽

2020 ◽

Vol 35 (3) ◽

pp. 676-683 ◽

Cited By ~ 1

Author(s):

Gabriela P Mena ◽

Gregore I Mielke ◽

Wendy J Brown

Keyword(s):

Physical Activity ◽

Body Mass Index ◽

Body Mass ◽

Cumulative Incidence ◽

Sitting Time ◽

Activity Levels ◽

Obese Women ◽

Increased Risk ◽

Physical Activity Levels ◽

Fertility Problems

Abstract STUDY QUESTION Do physical activity (PA), sitting time (ST) and body mass index (BMI) affect fertility over a 15-year period in Australian women? SUMMARY ANSWER Moderate and high levels of PA confer advantages for fertility in women with normal BMI, but increased risk of infertility was observed in obese women. WHAT IS KNOWN ALREADY Higher BMI is positively associated with higher rates of problems with fertility, but the effects of physical activity and sitting time on fertility are less well understood. STUDY DESIGN, SIZE, DURATION Participants in The Australian Longitudinal Study of Women’s Health (ALSWH) completed mailed surveys in 2000, with follow-ups in 2003, 2006, 2009, 2012 and 2015 (N = 6130). PARTICIPANTS/MATERIALS, SETTING, METHODS Participants were aged 22 to 27 in 2000. They were asked to report their physical activity levels, sitting time and fertility problems in each survey from 2000 to 2015. BMI was calculated from self-reported weight and height. Cumulative incidence of fertility problems was calculated from 2000 to 2015 and hazard ratios (HR) and 95% CIs were calculated using survival analysis. MAIN RESULTS AND THE ROLE OF CHANCE From 2000 to 2015, the cumulative incidence of fertility problems was 15.4% (95% CI: 14.5–16.4). High levels of PA were associated with reduced risk of problems with fertility [HR 0.82 (95% CI: 0.69–0.98)], and higher BMI was positively associated with fertility problems [overweight: HR 1.18, (95% CI 0.99–1.39); obese: HR 1.36, (95% CI 1.14–1.63)]. In survival analyses, incidence rates were highest in every survey interval in women who reported low PA levels and in women who were obese. Overall, ST was not associated with fertility problems. In stratified models, high levels of PA attenuated the risk of problems with fertility in women who were in the normal BMI category [HR 0.64, (95% CI 0.49–0.82)]. LIMITATIONS, REASONS FOR CAUTION The ALSWH relies on self-reported data, which may be subject to recall bias. WIDER IMPLICATIONS OF THE FINDINGS The study provides estimates of problems with fertility in a cohort of young adult Australian women, and the results indicate that these are inversely associated with physical activity levels and positively associated with BMI. However, the high infertility risk in obese women was not attenuated by high levels of PA. The protective effects of PA were only observed in women with normal BMI. As rates of developing problems with fertility were highest in every survey interval among women who reported low levels of physical activity and in women who were obese, these findings suggest that improving physical activity levels could be an affordable strategy to reduce problems with fertility in women who are trying to conceive. These findings should be considered by clinical and public health practitioners. STUDY FUNDING/COMPETING INTEREST(S) The ALSWH is funded by the Australian Government. Funding for these analyses was provided by a University of Queensland (UQ) International Postgraduate Research Scholarship and a UQ International Development Fellowship. The authors declare no conflicts of interest.

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

Sustainability ◽

10.3390/su12166392 ◽

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.

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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)

10.2196/preprints.7169 ◽

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.

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