Evidence map›Paper›PMID 36415807›Full record

ArticleIranian journal of public health2022

Can a Single General Self-Rated Health Question Mirror Social Determinant of Health?

Zahed Rezaei, Nastaran Keshavarz Mohammadi, Hamidreza Pouragha, Elham Shakibazadeh

Abstract read
In one paragraph

Article in Iranian journal of public health, 2022. 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

4 authors.

Zahed RezaeiDepartment of Health Education and Promotion, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Nastaran Keshavarz MohammadiSchool of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Hamidreza PouraghaDepartment of Occupational Health, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Elham ShakibazadehDepartment of Health Education and Promotion, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Self-rated health (SRH) indicator is widely used and recommended in health research as a standard indicator for measuring health in different populations. This paper reports SRH of employees at Tehran University of Medical Sciences (TUMS), Tehran, Iran; and its related factors. Methods: We used the TUMS Employee's Cohort Study (TEC) data, collected from September 2017 to August 2019. SRH of 2158 employees were assessed using a single question. Univariate and multivariate logistic regression were performed to determine factors associated with sub-optimal SRH. Results: Overall, 14.9% (n = 321) of respondents rated their health as sub-optimal. Differences were observed with subgroups. Women, lower socioeconomic status (SES), experiences of more economic fluctuation conditions and lower reading scores could predict sub-optimal SRH variations in crude and adjusted regression analyses. The age, social capital, work experience and employment status could predict sub-optimal SRH variations only in crude regression analyses ( Conclusion: Differences in SRH report reflected differences in socioeconomic conditions. The biggest gap was observed between people of different SES (five times). Considering that SRH reflected socioeconomic characteristics of individuals, it may be considered as a quick, non-expensive, and simple way of identifying groups in need of addressing their social determinants of health.

Indexed as

EmployeesIranSelf-rated healthSocial determinants of healthSocioeconomic statusWorkplace

Identifiers

PMID36415807
PMCPMC9647602

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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.