ArticleBMC research notes2025
The revised version of significant quality of life measure (SigQOLM-36).
Article in BMC research notes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Comparing Quality of Life and Well-Being Among Patients with Chronic Diseases.Healthcare (Basel, Switzerland) · 2026Article
- Building on the Doha Declaration: a white paper on advancing lifestyle medicine for non-communicable disease prevention and health system transformation.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe Significant Quality of Life Measure (SigQOLM) is a validated scale used to measure a broad spectrum of quality of life and well-being. Given that the original SigQOLM consists of 69 items, this study aims to revise and validate a shortened version, referred to as SigQOLM-36, containing 36 items.
resultsThe overall internal consistency of SigQOLM-36 was deemed excellent, with a Cronbach's alpha coefficient of 0.923. The minimum Cronbach's alpha coefficient for each domain was 0.733, McDonald's omega coefficients ranged between 0.562 and 0.991, and with a minimum factor loading of 0.547. Additionally, the model fit for the overall framework and each domain of SigQOLM-36 was found to be excellent (Chi-square test < 0.30, RMSEA < 0.80, SRMR < 0.08, CFI > 0.9, and TLI > 0.9). The SigQOLM-36 maintains the original SigQOLM framework, featuring four elements and 18 domains. In conclusion, the SigQOLM-36 can be used to measure quality of life and well-being of people.
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Registered trials
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.