Evidence map›Paper›PMID 30211265›Full record

ArticleData in brief2018

The dataset on rural women's awareness and attitudes about residential constructions in accordance with the health standards A case study of Gilan-e-Gharb, Iran.

Yaya Safari, Nasrin Yoosefpour, Mohammad Darvishmotavalli, Yasser Vasseghian, Kamaladdin Karimyan, Vinod Kumar Gupta, Omid Nasri, Arash Ziapour

Abstract read
In one paragraph

Article in Data in brief, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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.

Yaya SafariResearch Center for Environmental Determinants of Health (RCEDH), Kermanshah University of Medical Sciences, Kermanshah, Iran.
Nasrin YoosefpourStudents Research Committee, School of Public Health, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Mohammad DarvishmotavalliEnvironment Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
Yasser VasseghianResearch Center for Environmental Determinants of Health (RCEDH), Kermanshah University of Medical Sciences, Kermanshah, Iran.
Kamaladdin KarimyanEnvironmental Health Research Center, Kurdistan University of Medical Sciences, Sanandaj, Iran.
Vinod Kumar GuptaDepartment of Applied Chemistry, University of Johannesburg, Johannesburg, South Africa.
Omid NasriDepartment of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Arash ZiapourResearch Center for Environmental Determinants of Health (RCEDH), Kermanshah University of Medical Sciences, Kermanshah, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Residence can affect various aspects of one׳s physical, psychological and social health. Therefore, the present dataset aimed to assess the level of rural housewives' awareness and attitudes towards the importance of residence and its compliance with health standards. To collect the present dataset, four villages were selected from the Gilan-e-Gharb township using the randomized cluster sampling method, then 25 subjects were chosen from each village (totaling 100 altogether). Furthermore, the subjects' awareness and attitudes were measured using a researcher-made questionnaire, and the data were then analyzed using the SPSS Statistical Software Version 21.0. The obtained data demonstrated that rural housewives' awareness and attitudes towards the subject were significantly different in terms of education and age group (

Indexed as

AttitudesAwarenessGilan-e-Gharb TownshipResidenceRural women

Identifiers

PMID30211265
PMCPMC6129694

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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.