Evidence map›Paper›PMID 32133611›Full record

ArticleEnvironmental science and pollution research international2020

Identifying and evaluating school environmental health indicators.

Shao Lin, Yi Lu, Ziqiang Lin, Xiaobo Xue Romeiko, Tia Marks, Wangjian Zhang, Haider A Khwaja, Guanghui Dong, George Thurston

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Shao LinDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, 1 University Place, Room 212D, Rensselaer, NY, 12144, USA. slin@albany.edu.
Yi LuDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, 1 University Place, Room 212D, Rensselaer, NY, 12144, USA.
Ziqiang LinDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, 1 University Place, Room 212D, Rensselaer, NY, 12144, USA.
Xiaobo Xue RomeikoDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, 1 University Place, Room 212D, Rensselaer, NY, 12144, USA.
Tia MarksDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, 1 University Place, Room 212D, Rensselaer, NY, 12144, USA.
Wangjian ZhangDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, 1 University Place, Room 212D, Rensselaer, NY, 12144, USA.
Haider A KhwajaDepartment of Environmental Health Sciences, School of Public Health, University at Albany, State University of New York, 1 University Place, Room 212D, Rensselaer, NY, 12144, USA.
Guanghui DongDepartment of Epidemiology and Biostatistics, School of Public Health, Sun Yat-Sen University, Guangzhou, China.
George ThurstonDepartment of Environmental Medicine, School of Medicine, New York University, New York, NY, USA.

Funding

EPA R835636
6 · The paper itself

Abstract

Children's health, attendance, and academic performance may be affected by school environmental hazards. While prior studies evaluated home environment and health, few have evaluated indicators of school in-/outdoor environment and health. This study addresses this knowledge gap by systematically reviewing and evaluating outdoor and indoor indicators of school environment and student's health and performance in New York State (NYS). We also evaluate statistical methodologies to address highly correlated indicators and integrate multiple exposures. Multiple school environmental indicators were identified from various existing NYS datasets. We summarized data sources, completeness, geographic and temporal coverage, and data quality for each indicator. Each indicator was evaluated by scientific basis/relevance, analytic soundness/feasibility, and interpretation/utility, and validated using objective NYS data. Finally, advanced variable selection methods were described and discussed. We have identified and evaluated multiple school environmental health indicators. It was found that mold and moisture problems, ventilation problems, ambient ozone, and PM

Indexed as

Environmental HealthSchoolsChildEnvironmental ExposureHealth ServicesHumansNew YorkAttendanceIndicatorsSchool environmentstudent’s healthStudents’ performance

Identifiers

PMID32133611

What OpenQuestion holds

Textmetadata
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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.