Evidence map›Paper›PMID 35432834›Full record

ArticleJournal of healthcare engineering2022

Study of Complexity Systems in Public Health for Evaluating the Correlation between Mental Health and Age-Related Demographic Characteristics: A General Health Study.

Fereshte Haghi, Shadi Goli, Rana Rezaei, Fatemeh Akhormi, Fatemeh Eskandari, Zeinab Nasr Isfahani

Abstract read
In one paragraph

Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Fereshte HaghiShahid Beheshti OB&GYN Hospital Isfahan University of Medical Sciences, Isfahan, Iran.
Shadi GoliNursing and Midwifery Sciences Development Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran.
Rana RezaeiDepartment of Midwifery, Shoushtar Faculty of Medical Sciences, Shoushtar, Iran.
Fatemeh AkhormiDepartment of Midwifery, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Fatemeh EskandariDepartment of Midwifery, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Zeinab Nasr IsfahaniShahid Beheshti OB&GYN Hospital Isfahan University of Medical Sciences, Isfahan, Iran.ORCID 0000-0002-1358-8929

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main objective of this study is to evaluate the quality of nurses' work lives and mental health during outbreaks. We also use the General Health Questionnaire-28 and Walton's QWL technique to assess the association between these two and their dimensions with demographic variables and each other. First, 165 nurses from COVID-19 medical centers in Iran filled surveys for this research. In an SPSS program, the data were examined. There was a strong link between mental health and age-related demographic factors. There was no evidence of a link between the quality of nurses' work life and their psychological health. However, there was a strong link between somatic symptoms and fair and appropriate compensation, as well as constitutionalism. The worst situations for work life quality were linked to the whole living area dimension. In contrast, the worst conditions for mental health were linked to the somatic symptoms dimension.

Indexed as

COVID-19Medically Unexplained SymptomsCross-Sectional StudiesHumansMental HealthPublic HealthQuality of LifeSurveys and Questionnaires

Identifiers

PMID35432834
PMCPMC9007644

What OpenQuestion holds

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Registered trials

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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.