Evidence map›Paper›PMID 30360440›Full record

ArticleInternational journal of environmental research and public health2018

Impacts of Individual Daily Greenspace Exposure on Health Based on Individual Activity Space and Structural Equation Modeling.

Lin Zhang, Suhong Zhou, Mei-Po Kwan, Fei Chen, Rongping Lin

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Green Space and Health in Mainland China: A Systematic Review.International journal of environmental research and public health · 2021
    Pooled it
  3. Trial
  4. Article
  5. Article
  6. The benefits of nature exposure: The need for research that better informs implementation.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Nonlinear Effects of the Neighborhood Environments on Residents' Mental Health.International journal of environmental research and public health · 2022
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Lin ZhangSchool of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China. zhanglin8@mail2.sysu.edu.cn.ORCID 0000-0002-0235-7818
Suhong ZhouSchool of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China. eeszsh@mail.sysu.edu.cn.
Mei-Po KwanDepartment of Geography and Geographic Information Science, Natural History Building, 1301 W Green Street, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. mpk654@gmail.com.ORCID 0000-0001-8602-9258
Fei ChenSchool of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China. FeiFei17213454@163.com.
Rongping LinSchool of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China. linrp3@mail2.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies on the effects of greenspace exposure on health are largely based on static contextual units, such as residential neighborhoods, and other administrative units. They tend to ignore the spatiotemporal dynamics of individual daily greenspace exposure and the mediating effects of specific activity type (such as physical activity). Therefore, this study examines individual daily greenspace exposure while taking into account people's daily mobility and the mediating role of physical activity between greenspace exposure and health. Specifically, using survey data collected in Guangzhou, China, and high-resolution remote sensing images, individual activity space for a weekday is delineated and used to measure participants' daily greenspace exposure. Structural equation modeling is then applied to analyze the direct effects of individual daily greenspace exposure on health and its indirect effects through the mediating variable of physical activity. The results show that daily greenspace exposure directly influences individual health and also indirectly affects participants' health status through physical activity. With respect to the total effects, daily greenspace exposure helps improve participants' mental health and contributes to promoting their social health. It also helps improve participants' physical health, although to a lesser extent. In general, the higher the daily greenspace exposure, the higher the physical activity level and the better the overall health (including physical, mental, and social health).

Indexed as

ExerciseHealth StatusMental HealthParks, RecreationalSpatial BehaviorAdultChinaFemaleHumansLatent Class AnalysisMaleResidence CharacteristicsSurveys and Questionnairesgreenspace exposureGuangzhouhealthhuman mobilityphysical activitystructural equation modeling

Identifiers

PMID30360440
PMCPMC6210249

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.