Evidence map›Paper›PMID 32884330›Full record

ArticleInternational journal of general medicine2020

Comparison of SF-36 and WHOQoL-BREF in Measuring Quality of Life in Patients with Type 2 Diabetes.

Abbas Abbasi-Ghahramanloo, Mojtaba Soltani-Kermanshahi, Kamyar Mansori, Maryam Khazaei-Pool, Masoudreza Sohrabi, Hamid Reza Baradaran, Zahra Talebloo, Ali Gholami

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Article in International journal of general medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 3 pooled it
–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

41 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Systematic review of the factor structure of WHOQOL-bref in adult population.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
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  8. Reliability and validation of the German WHOQOL-BREF in adults with congenital heart disease.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
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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.

Abbas Abbasi-GhahramanlooDepartment of Public Health, School of Health, Ardabil University of Medical Sciences, Ardabil, Iran.
Mojtaba Soltani-KermanshahiSocial Determinants of Health Research Center, School of Medicine, Semnan University of Medical Sciences, Semnan, Iran.ORCID 0000-0002-6607-6249
Kamyar MansoriDepartment of Biostatistics and Epidemiology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran.
Maryam Khazaei-PoolDepartment of Public Health, School of Health, Mazandaran University of Medical Sciences, Sari, Iran.ORCID 0000-0002-2587-3460
Masoudreza SohrabiGastrointestinal & Liver Disease Research Center (GILDRC), Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran.
Hamid Reza BaradaranDepartment of Epidemiology, School of Health, Iran University of Medical Sciences, Tehran, Iran.
Zahra TaleblooNon-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Ali GholamiNoncommunicable Diseases Research Center, Neyshabur University of Medical Sciences, Neyshabur, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to compare the quality of life (QoL) in patients with type 2 diabetes using two WHOQoL -BREF and SF-36 questionnaires in Iran. PATIENTS AND

methodsIn this cross-sectional study, 1847 patients with type 2 diabetes were recruited from rural health-care centers affiliated to Neyshabur County (Iran) in 2012. In addition to demographic information, two questionnaires WHOQoL-BREF and SF-36 questionnaires were used for data collection. Cronbach's alpha coefficient was used for scale reliability. We conducted an exploratory factor analysis for the investigation of construct validity. Convergent and discriminant validity were analyzed using Spearman correlation coefficient. To determine the relationships between the eight domains of SF-36 and four domains of the WHOQoL-BREF, structural equation modelling was performed.

resultsCronbach's alpha coefficients were acceptable for all domains of both WHOQoL-BREF (0.69-0.86) and SF-36 (0.63 -0.92) questionnaires. The principal component analysis showed two separate factors: one for all domains of SF-36 and another for all domains of WHOQoL-BREF. Spearman correlation coefficients of both instruments were partly to strongly correlated with most domains (r ≥0.40). Correlations for domains with similar constructs were stronger than those measuring varied constructs. Structural equation modelling recommended approximately moderate relationships among the SF-36 and WHOQoL-BREF domains.

conclusionOur study suggests that SF-36 and WHOQoL-BREF are reliable instruments for clinical and research uses, respectably. However, results of the goodness of fit showed that the WHOQoL-BREF was fitted well. Also, the WHOQoL-BREF can be considered more suitable for the study population.

Indexed as

Iranquality of lifeSF-36type 2 diabetesWHOQoL-BREF

Identifiers

PMID32884330
PMCPMC7434519

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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.