Evidence map›Paper›PMID 28923052›Full record

ArticleBMC public health2017

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

Samuel D Towne, Marcia G Ory, Matthew Lee Smith, S Camille Peres, Adam W Pickens, Ranjana K Mehta, Mark Benden

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 63 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Samuel D TowneDepartment of Health Promotion and Community Health Sciences, School of Public Health, Texas A&M University, 1266 TAMU, College Station, TX, 77843-1266, USA. towne@sph.tamhsc.edu.
Marcia G OryCenter for Population Health and Aging, School of Public Health, Texas A&M University, College Station, TX, 77843-1266, USA.
Matthew Lee SmithCenter 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.
S Camille PeresTexas 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.
Adam W PickensCenter for Population Health and Aging, School of Public Health, Texas A&M University, College Station, TX, 77843-1266, USA.
Ranjana K MehtaCenter for Population Health and Aging, School of Public Health, Texas A&M University, College Station, TX, 77843-1266, USA.
Mark BendenTexas 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.
Texas A&M University · USTexas A&M Health Science Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

methodsWe 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).

resultsApproximately 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.

conclusionsIn 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.

Indexed as

ExerciseAdolescentAdultCross-Sectional StudiesEthnicityFemaleGuidelines as TopicHumansMaleMiddle AgedRacial GroupsSex FactorsSleepStudentsSurveys and QuestionnairesTechnologyCollege studentsPhysical activitySleepSociodemographicTechnologyYoung adults

Identifiers

PMID28923052
PMCPMC5604184
OpenAlexW2755634072

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.