Evidence map›Paper›PMID 31870351›Full record

ArticleBMC public health2019

Use of SOPARC to assess physical activity in parks: do race/ethnicity, contextual conditions, and settings of the target area, affect reliability?

Oriol Marquet, J Aaron Hipp, Claudia Alberico, Jing-Huei Huang, Dustin Fry, Elizabeth Mazak, Gina S Lovasi, Myron F Floyd

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.3field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 32 citations in OpenAlex.

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  7. A direct observation tool to measure interactions between shade, nature, and children's physical activity: SOPLAY-SN.The international journal of behavioral nutrition and physical activity · 2022
    Article
  8. Assessing Park Quality with a Wearable Video Device and an Unmanned Aerial System.International journal of environmental research and public health · 2022
    Article
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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 3 institutions in 2 countries.

Oriol MarquetISGlobal Barcelona Institute for Global Health, Barcelona, Spain. oriol.marquet@isglobal.org.ORCID http://orcid.org/0000-0002-7346-5664
J Aaron HippDepartment of Parks, Recreation, and Tourism Management, NC State University, Raleigh, NC, USA.
Claudia AlbericoDepartment of Parks, Recreation, and Tourism Management, NC State University, Raleigh, NC, USA.
Jing-Huei HuangDepartment of Parks, Recreation, and Tourism Management, NC State University, Raleigh, NC, USA.
Dustin FryDornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Elizabeth MazakDepartment of Parks, Recreation, and Tourism Management, NC State University, Raleigh, NC, USA.
Gina S LovasiDornsife School of Public Health, Drexel University, Philadelphia, PA, USA.
Myron F FloydDepartment of Parks, Recreation, and Tourism Management, NC State University, Raleigh, NC, USA.
North Carolina State University · USDrexel University · USBarcelona Institute for Global Health · ES

Funding

Ministerio de Economía, Industria y Competitividad, Gobierno de España FJCI 2016-28975Robert Wood Johnson Foundation 9376
6 · The paper itself

Abstract

backgroundSince its introduction in 2006, SOPARC (Systematic Observation of Play and Recreation in Communities) has become a fundamental tool to quantify park visitor behaviors and characteristics. We tested SOPARC reliability when assessing race/ethnicity, physical activity, contextual conditions at the time of observation, and settings of target areas to understand its utility when trying to account for individual characteristics of users.

methodsWe used 4725 SOPARC observations completed simultaneously by two independent observers to evaluate intraclass correlation and agreement rate between the two observers when trying to assess sex, age group, race/ethnicity, and level of physical activity of urban park users in different park settings. Observations were in 20 New York City parks during Spring and Summer 2017 within the PARC

resultsObservers counted 25,765 park users with high interobserver reliability (ICC = .94; %Agreement.75). Reliability scores were negatively affected by the population being observed, the intensity of physical activity, and the contextual conditions and settings of the target area at the time of observation. Specific challenges emerged when assessing the combination of physical activity and race/ethnicity.

conclusionsSOPARC training should aim to improve reliability when assessing concurrent measures such as physical activity, race/ethnicity, age, and sex. Similarly, observing crowded park areas with many active users areas may require more observation practice hours.

Indexed as

ExerciseObservationAdolescentAdultAgedChildChild, PreschoolEthnicityFemaleHumansInfantInfant, NewbornMaleMiddle AgedNew York CityParks, RecreationalObservationalPark physical activityPark useRace/ethnicityReliabilitySOPARC

Identifiers

PMID31870351
PMCPMC6929368
OpenAlexW2996307310

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.