ArticleHealth and quality of life outcomes2026
Discrimination experiences and their associations with sociodemographic factors, health and quality of life-a latent class analysis.
Article in Health and quality of life outcomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDiscrimination has adverse effects on people's health and quality of life (QoL). This study aimed to identify distinct intersecting patterns of discrimination experiences, examine their associations with social categories and health factors, and assess the impact of perceived discrimination (PD) on health and QoL outcomes beyond specific self-reported reasons for PD.
methodsWe utilized data from the Norwegian Counties Public Health Survey (NCPHS) conducted in Agder County in 2023 and employed latent class analysis (LCA) to explore how patterns of discrimination reasons cluster. The selected classes were then further examined to determine how they differed by comparing each class to the reference class with no PD. Lastly, we assessed the estimated marginal means of each class on health and overall QoL using ANCOVA.
resultsThe study identified six classes of PD: Massive PD, Gender/Age PD, No PD, Function/Illness PD, Ethnicity/Skin PD, and Political PD. ANCOVA analyses revealed significant differences across self-rated health, mental distress, and QoL. Notably, the Massive PD, Gender/Age PD, and Function/Illness PD groups reported significantly poorer self-rated health and QoL compared to the No PD group. All PD classes scored significantly higher in mental distress than the No PD group, with the Massive PD class exceeding the clinical cut-off, indicating elevated psychological distress.
conclusionsOur findings reveal persistent health and QoL disparities between individuals experiencing PD and those who do not, despite a robust welfare system. Service providers must consider the interplay of factors such as age, gender, income, and health conditions with PD to ensure fair service delivery.
Indexed as
Identifiers
What OpenQuestion holds
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.