Evidence map›Paper›PMID 27548195›Full record

ArticleInternational journal of environmental research and public health2016

Association between Natural Resources for Outdoor Activities and Physical Inactivity: Results from the Contiguous United States.

Yan Jiang, Yongping Yuan, Anne Neale, Laura Jackson, Megan Mehaffey

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.7field-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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Protected Natural Areas: In Sickness and in Health.International journal of environmental research and public health · 2018
    Article
  3. 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

5 authors at 1 institution in 1 country.

Yan JiangUSEPA Office of Research and Development, National Exposure Research Laboratory, 109 T. W. Alexander Dr., Research Triangle Park, NC 27711, USA. enaj1125@gmail.com.
Yongping YuanUSEPA Office of Research and Development, National Exposure Research Laboratory, 109 T. W. Alexander Dr., Research Triangle Park, NC 27711, USA. yuan.yongping@epa.gov.
Anne NealeUSEPA Office of Research and Development, National Exposure Research Laboratory, 109 T. W. Alexander Dr., Research Triangle Park, NC 27711, USA. neale.anne@epa.gov.
Laura JacksonUSEPA Office of Research and Development, National Exposure Research Laboratory, 109 T. W. Alexander Dr., Research Triangle Park, NC 27711, USA. jackson.laura@epa.gov.
Megan MehaffeyUSEPA Office of Research and Development, National Exposure Research Laboratory, 109 T. W. Alexander Dr., Research Triangle Park, NC 27711, USA. mehaffey.megan@epa.gov.
Environmental Protection Agency · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protected areas including national/state parks and recreational waters are excellent natural resources that promote physical activity and interaction with Nature, which can relieve stress and reduce disease risk. Despite their importance, however, their contribution to human health has not been properly quantified. This paper seeks to evaluate quantitatively how national/state parks and recreational waters are associated with human health and well-being, taking into account of the spatial dependence of environmental variables for the contiguous U.S., at the county level. First, we describe available natural resources for outdoor activities (ANROA), using national databases that include features from the Protected Areas Database, NAVSTREETS, and ATTAINSGEO 305(b) Waters. We then use spatial regression techniques to explore the association of ANROA and socioeconomic status factors on physical inactivity rates. Finally, we use variance analysis to analyze ANROA's influence on income-related health inequality. We found a significantly negative association between ANROA and the rate of physical inactivity: ANROA and the spatial effect explained 69%, nationwide, of the variation in physical inactivity. Physical inactivity rate showed a strong spatial dependence-influenced not only by its own in-county ANROA, but also by that of its neighbors ANROA. Furthermore, community groups at the same income level and with the highest ANROA, always had the lowest physical inactivity rate. This finding may help to guide future land use planning and community development that will benefit human health and well-being.

Indexed as

ExerciseRecreationAdultHealth Status DisparitiesHumansIncomeMaleNatural ResourcesRegression AnalysisResidence CharacteristicsSocial ClassSocioeconomic FactorsUnited Statescommunity healthphysical inactivityprotected areasspatial autocorrelationspatial lag model

Identifiers

PMID27548195
PMCPMC4997516
OpenAlexW2514441489

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.