Evidence map›Paper›PMID 32085979›Full record

ArticleJournal of science and medicine in sport2020

Correlates of accelerometry non-adherence in an economically disadvantaged minority urban adult population.

Matthew S Cato, Katarzyna Wyka, Emily B Ferris, Kelly R Evenson, Fang Wen, Joan M Dorn, Lorna E Thorpe, Terry T-K Huang

Abstract read
In one paragraph

Article in Journal of science and medicine in sport, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Trial
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  6. Article
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.

Matthew S CatoCenter for Systems and Community Design, Graduate School of Public Health and Health Policy, City University of New York, United States.
Katarzyna WykaCenter for Systems and Community Design, Graduate School of Public Health and Health Policy, City University of New York, United States.
Emily B FerrisCenter for Systems and Community Design, Graduate School of Public Health and Health Policy, City University of New York, United States.
Kelly R EvensonDepartment of Epidemiology, Gilling's School of Global Public Health, University of North Carolina, United States.
Fang WenDepartment of Epidemiology, Gilling's School of Global Public Health, University of North Carolina, United States.
Joan M DornSchool of Medicine, City University of New York, United States.
Lorna E ThorpeDepartment of Population Health, School of Medicine, New York University, United States.
Terry T-K HuangCenter for Systems and Community Design, Graduate School of Public Health and Health Policy, City University of New York, United States. Electronic address: terry.huang@sph.cuny.edu.

Funding

Physical Activity and Redesigned Community Spaces (PARCS) Study Diversity SupplementR01CA206877 · NCI · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI HUANG, TERRY T-K · 2016 to 2020
$3.0M
NCCDPHP CDC HHS U48 DP006396NCI NIH HHS R01 CA206877
6 · The paper itself

Abstract

objectivesThe purpose of this study was to examine socio-demographic and psychosocial correlates of non-adherence to an accelerometry protocol in an economically disadvantaged urban population.

designCross-sectional study.

methodsWe analyzed 985 New York City adult participants aged 18-81 years from the Physical Activity and Redesigned Community Spaces (PARCS) study. Participants were asked to wear a hip-worn ActiGraph GT3X-BT accelerometer for one week. Adherent accelerometer wear was defined as ≥3 days of ≥8 h/day of wear over a 7-day period and non-adherent accelerometry wear was defined as any wear less than adherent wear from returned accelerometers. Examined correlates of adherence included sociodemographic and psychosocial characteristics (e.g., general physical/mental health-related quality of life, self-efficacy for exercise, stress, sense of community/neighborhood well-being, and social cohesion).

resultsFrom the total sample, 636 (64.6%) participants provided adherent wear and 349 (35.4%) provided non-adherent wear. In multivariable analysis, younger age (odds ratio [OR] = 0.63, 95% confidence interval [CI]: 0.53-0.75), poorer health-related quality of life (OR = 0.80, 95% CI: 0.65-0.98 for physical health and OR = 0.77, 95% CI: 0.62-0.94 for mental health), lower sense of community (OR = 0.79, 95% CI: 0.62-1.00) and current smoking status (OR = 1.97, 95% CI: 1.35-2.86) were associated with non-adherent wear.

conclusionsNon-adherent wear was associated with younger age, smoking, and lower self-reported physical/mental functioning and sense of community. This information can inform targeted adherence strategies to improve physical activity and sedentary behavior estimates from accelerometry data in future studies involving an urban minority population.

Indexed as

AccelerometryMinority GroupsSocioeconomic FactorsUrban PopulationAdolescentAdultAgedAged, 80 and overCross-Sectional StudiesExerciseFemaleHumansLongitudinal StudiesMaleMiddle AgedNew York CityAccelerometryAdherencePhysical activitySedentary behaviorUrban populationVulnerable populations

Identifiers

PMID32085979
PMCPMC9186049

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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.