Evidence map›Paper›PMID 34794504›Full record

ArticleBMC research notes2021

A geodatabase of blood pressure level and the associated factors including lifestyle, nutritional, air pollution, and urban greenspace.

Alireza Mohammadi, Elahe Pishgar, Neda Firouraghi, Nasser Bagheri, Ali Shamsoddini, Jaffar Abbas, Behzad Kiani

Abstract read
In one paragraph

Article in BMC research notes, 2021. 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.

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  5. Review
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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

7 authors.

Alireza MohammadiDepartment of Geography and Urban Planning, Faculty of Social Sciences, University of Mohaghegh Ardabili, Ardabil, Iran.ORCID https://orcid.org/0000-0002-3327-0942
Elahe PishgarDepartment of Human Geography, Faculty of Earth Science, Shahid Beheshti University, Tehran, Iran.ORCID https://orcid.org/0000-0001-7217-2598
Neda FirouraghiDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Firouraghin981@mums.ac.ir.ORCID https://orcid.org/0000-0002-1297-0448
Nasser BagheriVisualization and Decision Analytics (VIDEA) Lab, Centre for Mental Health Research, Research School of Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.ORCID https://orcid.org/0000-0003-1097-2797
Ali ShamsoddiniDepartment of Human Geography, Faculty of Humanities, Islamic Azad University, Marvdasht Branch, Marvdasht, Iran.ORCID https://orcid.org/0000-0001-9757-4331
Jaffar AbbasAntai College of Economics and Management, and School of Media and Communication, Shanghai Jiao Tong University, Shanghai, China.ORCID https://orcid.org/0000-0002-8830-1435
Behzad KianiDepartment of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran. Kiani.Behzad@gmail.com.ORCID http://orcid.org/0000-0002-8816-328X

Funding

Mashhad University of Medical Sciences IR.MUMS.MEDICAL.REC.1398.785.‎
6 · The paper itself

Abstract

objectivesHypertension is a prevalent chronic disease globally. A multifaceted combination of risk factors is associated with hypertension. Scientific literature has shown the association among individual and environmental factors with hypertension, however, a comprehensive database including demographic, environmental, individual attributes and nutritional status has been rarely studied. Moreover, an integrated spatial-epidemiological approach has been scarcely researched. Therefore, this study aims to provide and describe a geodatabase including individual-based and socio-environmental data related to people living in the city of Mashhad, Iran in 2018. DATA DESCRIPTION: The database has been extracted from the PERSIAN Organizational Cohort study in Mashhad University of Medical Sciences. The data note includes three shapefiles and a help file. The shapefile format is a digital vector storage format for storing geometric location and associated attribute information. The first shapefile includes the data of population, air pollutants and amount of available green space for each census block of the city. The second shapefile consists of aggregated blood pressure data to the census blocks of the city. The third shapefile comprises the individual characteristics data (i.e., demographic, clinical, and lifestyle). Finally, the fourth file is a guide to the previous data files for users.

Indexed as

Air PollutionParks, RecreationalBlood PressureCohort StudiesEnvironmental ExposureHumansLife StyleAir pollutionBlood pressureGeographical information systemGreen spaceHypertensionNutritional factorsSpatial analysis

Identifiers

PMID34794504
PMCPMC8600347

What Socratic 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 Socratic graph.