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      Accessing physical activity among young adults attending a university: the role of sex, race/ethnicity, technology use, and sleep

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          Abstract

          Background

          Identifying factors associated with recommended physical activity (PA) levels are critical in efforts to combat the obesity epidemic and related comorbidities.

          Methods

          We conducted cross-sectional analyses of college students ( n = 490) enrolled in a large southern state university in October of 2014. Our aim was to identify sociodemographic characteristics, technology use, and sleep patterns among college students and their independent relationship to recommended PA. An online survey was sent to all enrolled students. Logistic regression predicted achieving recommended ≥150 min per week of moderate-vigorous PA (MVPA) versus not (≤149 min MVPA).

          Results

          Approximately 69% of study participants were males, 18% were Hispanic, and more than half (60%) were within the normal body mass index (12% were obese). The average age of students was 21 years. On a daily average, individuals used smartphones most often (nearly 4.4 h), followed by laptops at 4.0 h, desktops at 1.2 h, and tablets at 0.6 h. The mean number of hours individuals reported sleeping was 6.7. Sociodemographic factors associated with reporting ≥150 min of MVPA included being male (OR = 4.0, 95% CI 2.2–7.1) versus female, being non-Hispanic White (OR = 1.8, CI 1.1–3.2) versus being a member of minority race group. Behavioral factors associated with reporting ≥150 min of MVPA included technology use (being moderate-heavy (OR = 2.3, CI 1.1–4.8) or heavy (OR = 3.4, CI 1.6–7.5) users of technology), and receiving low-moderate (OR = 1.9, 1.01–3.7) levels of sleep versus the lowest level of sleep.

          Conclusions

          In the current study, minority status and being female were the strongest sociodemographic factors associated with inadequate PA levels, while high technology use (primarily driven by smartphone use) were associated with recommended PA levels. Identifying factors associated with being physically active will allow for targeted interventions to improve the health of young adults.

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          Most cited references24

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          Time use and physical activity: a shift away from movement across the globe.

          Technology linked with reduced physical activity (PA) in occupational work, home/domestic work, and travel and increased sedentary activities, especially television viewing, dominates the globe. Using detailed historical data on time allocation, occupational distributions, energy expenditures data by activity, and time-varying measures of metabolic equivalents of task (MET) for activities when available, we measure historical and current MET by four major PA domains (occupation, home production, travel and active leisure) and sedentary time among adults (>18 years). Trends by domain for the United States (1965-2009), the United Kingdom (1961-2005), Brazil (2002-2007), China (1991-2009) and India (2000-2005) are presented. We also project changes in energy expenditure by domain and sedentary time (excluding sleep and personal care) to 2020 and 2030 for each of these countries. The use of previously unexplored detailed time allocation and energy expenditures and other datasets represents a useful addition to our ability to document activity and inactivity globally, but highlights the need for concerted efforts to monitor PA in a consistent manner globally, increase global PA and decrease sedentary behavior. Given the potential impact on weight gain and other cardiometabolic health risks, the differential declines in MET of activity and increases in sedentary time across the globe represent a major threat to global health. © 2012 The Authors. obesity reviews © 2012 International Association for the Study of Obesity.
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            Exercise training improves sleep quality in middle-aged and older adults with sleep problems: a systematic review.

            Does an exercise training program improve the quality of sleep in middle-aged and older adults with sleep problems? Systematic review with meta-analysis of randomised trials. Adults aged over 40 years with sleep problems. A formal exercise training program consisting of either aerobic or resistance exercise. Self-reported sleep quality or polysomnography. Six trials were eligible for inclusion and provided data on 305 participants (241 female). Each of the studies examined an exercise training program that consisted of either moderate intensity aerobic exercise or high intensity resistance exercise. The duration of most of the training programs was between 10 and 16 weeks. All of the studies used the self-reported Pittsburgh Sleep Quality Index to assess sleep quality. Compared to the control group, the participants who were randomised to an exercise program had a better global Pittsburgh Sleep Quality Index score, with a standardised mean difference (SMD) of 0.47 (95% CI 0.08 to 0.86). The exercise group also had significantly reduced sleep latency (SMD 0.58, 95% CI 0.08 to 1.08), and medication use (SMD 0.44, 95% CI 0.14 to 0.74). However, the groups did not differ significantly in sleep duration, sleep efficiency, sleep disturbance, or daytime functioning. Participation in an exercise training program has moderately positive effects on sleep quality in middle-aged and older adults. Physical exercise could be an alternative or complementary approach to existing therapies for sleep problems. Copyright © 2012 Australian Physiotherapy Association. Published by .. All rights reserved.
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              Recommended Amount of Sleep for a Healthy Adult: A Joint Consensus Statement of the American Academy of Sleep Medicine and Sleep Research Society.

              Sleep is essential for optimal health. The American Academy of Sleep Medicine (AASM) and Sleep Research Society (SRS) developed a consensus recommendation for the amount of sleep needed to promote optimal health in adults, using a modified RAND Appropriateness Method process. The recommendation is summarized here. A manuscript detailing the conference proceedings and evidence supporting the final recommendation statement will be published in SLEEP and the Journal of Clinical Sleep Medicine.
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                Author and article information

                Contributors
                979.436.9338 , towne@sph.tamhsc.edu
                MOry@sph.tamhsc.edu
                health@uga.edu
                peres@tamu.edu
                pickens@sph.tamhsc.edu
                rmehta@tamu.edu
                mbenden@sph.tamhsc.edu
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                18 September 2017
                18 September 2017
                2017
                : 17
                : 721
                Affiliations
                [1 ]ISNI 0000 0004 4687 2082, GRID grid.264756.4, Department of Health Promotion and Community Health Sciences, , School of Public Health, Texas A&M University, ; 1266 TAMU, College Station, TX 77843-1266 USA
                [2 ]ISNI 0000 0004 4687 2082, GRID grid.264756.4, Center for Population Health and Aging, , School of Public Health, Texas A&M University, ; College Station, TX 77843-1266 USA
                [3 ]ISNI 0000 0004 4687 2082, GRID grid.264756.4, Center for Population Health and Aging & Department of Environmental and Occupational Health, , School of Public Health, Texas A&M University, ; 1266 TAMU, College Station, TX 77843-1266 USA
                [4 ]ISNI 0000 0004 1936 738X, GRID grid.213876.9, Department of Health Promotion and Behavior, , College of Public Health, The University of Georgia, ; 330 River Road, 315 Ramsey Center, Athens, GA 30602 USA
                [5 ]ISNI 0000 0004 4687 2082, GRID grid.264756.4, Texas A&M Ergonomics Center & Department of Environmental and Occupational Health, , School of Public Health, Texas A&M University, ; 1266 TAMU, College Station, TX 77843-1266 USA
                Article
                4757
                10.1186/s12889-017-4757-y
                5604184
                28923052
                0b5489b1-6736-44e6-82d3-5bac167de72a
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 12 December 2016
                : 13 September 2017
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Public health
                physical activity,young adults,sociodemographic,college students,technology,sleep
                Public health
                physical activity, young adults, sociodemographic, college students, technology, sleep

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