Evidence map›Paper›PMID 29730607›Full record

ArticleJournal of epidemiology and community health2018

Cross-sectional associations of active transport, employment status and objectively measured physical activity: analyses from the National Health and Nutrition Examination Survey.

Lin Yang, Liang Hu, J Aaron Hipp, Kellie R Imm, Rudolph Schutte, Brendon Stubbs, Graham A Colditz, Lee Smith

Open access · greenAbstract read
In one paragraph

Article in Journal of epidemiology and community health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
6.3field-weighted citation impact, top 5% 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

8 citing papers in PubMed, 28 citations in OpenAlex.

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  4. Changes in physical activity after joining a bikeshare program: a cohort of new bikeshare users.The international journal of behavioral nutrition and physical activity · 2022
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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

8 authors at 6 institutions in 4 countries.

Lin YangDepartment of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria.ORCID 0000-0002-1698-6666
Liang HuDepartment of Sport Science, Zhejiang University College of Education, Hangzhou, China.
J Aaron HippCenter for Geospatial Analytics, Department of Parks, Recreation and Tourism Management, North Carolina State University, Raleigh, North Carolina, USA.
Kellie R ImmDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Rudolph SchutteDepartment of Medical Science and Public Health, Faculty of Medical Science, Anglia Ruskin University, Chelmsford, UK.
Brendon StubbsPhysiotherapy Department, South London and Maudsley NHS Foundation Trust, London, UK.
Graham A ColditzDivision of Public Health Sciences, School of Medicine, Washington University, Saint Louis, Missouri, USA.
Lee SmithFaculty of Science and Technology, Sports and Exercise Sciences, Anglia Ruskin University, Cambridge, UK.
Anglia Ruskin University · GBWashington University in St. Louis · USKing's College London · GBNorth Carolina State University · USUniversity of Southern California · USZhejiang University · CN

Funding

Worksite Policies and neighborhood Influences on Obesity and Cancer RiskU54CA155496 · NCI · WASHINGTON UNIVERSITY · PI COLDITZ, GRAHAM A. · 2011 to 2016
$9.0M
Department of Health ICA-CL-2017-03-001NCI NIH HHS U54 CA155496
6 · The paper itself

Abstract

backgroundTo investigate associations between active transport, employment status and objectively measured moderate-to-vigorous physical activity (MVPA) in a representative sample of US adults.

methodsCross-sectional analyses of data from the National Health and Nutrition Examination Survey. A total of 5180 adults (50.2 years old, 49.0% men) were classified by levels of active transportation and employment status. Outcome measure was weekly time spent in MVPA as recorded by the Actigraph accelerometer. Associations between active transport, employment status and objectively measured MVPA were examined using multivariable linear regression models adjusted for age, body mass index, race and ethnicity, education level, marital status, smoking status, working hour duration (among the employed only) and self-reported leisure time physical activity.

resultsPatterns of active transport were similar between the employed (n=2897) and unemployed (n=2283), such that 76.0% employed and 77.5% unemployed engaged in no active transport. For employed adults, those engaging in high levels of active transport (≥90 min/week) had higher amount of MVPA than those who did not engage in active transport. This translated to 40.8 (95% CI 15.7 to 65.9) additional minutes MVPA per week in men and 57.9 (95% CI 32.1 to 83.7) additional minutes MVPA per week in women. Among the unemployed adults, higher levels of active transport were associated with more MVPA among men (44.8 min/week MVPA, 95% CI 9.2 to 80.5) only.

conclusionsFindings from the present study support interventions to promote active transport to increase population level physical activity. Additional strategies are likely required to promote physical activity among unemployed women.

Indexed as

EmploymentExerciseAccelerometryCross-Sectional StudiesFemaleHumansLinear ModelsMaleMiddle AgedNutrition SurveysTransportationUnited Statesaccelerometeractive transportemployment statusmoderate to vigorous intensity physical activity

Identifiers

PMID29730607
PMCPMC6086741
OpenAlexW2801779694

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.