The Relational and Structural Dimensions of Wellbeing: A Population‐Based Latent Model of Social Conditions, Mattering, Perceived Discrimination, and Quality of Life

ABSTRACT Mattering, the experience of feeling valued and able to contribute, is a recognized determinant of wellbeing. Perceived discrimination (PD), or unfair treatment, is socially patterned and may communicate devaluation. Anti‐mattering, the subjective experience of insignificance and disregard, serves as a theoretical lens on PD, not a measured construct. Population‐level studies rarely examine mattering and PD together, their socio‐demographic patterning or associations with quality of life (QoL). In the 2024 Norwegian Quality of Life Survey ( N = 16,396), mattering, PD, and QoL were modelled as latent constructs in a structural equation model estimating direct and indirect associations with socio‐demographic predictors. Socio‐demographic factors explained 11% of the variance in mattering and 31% in PD, with the largest contributions to PD observed among younger adults and those with financial difficulties, health limitations, or immigrant backgrounds. Mattering was positively associated with QoL ( β = 0.55, β std = 0.59) and PD negatively ( β = −0.81, β std = −0.29), both p < 0.001; the model explained 61% of QoL variance. The difference in explained variance suggests that PD was more strongly patterned by the socio‐demographic factors included in the model than mattering. Welfare policy and practice therefore need to address mattering and discrimination relationally and structurally.

Authors

Institutions

Publication Details

Journal
Journal of Community & Applied Social Psychology
Published
2026-10-13
DOI
https://doi.org/10.1002/casp.70339
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Relational and Structural Dimensions of Wellbeing: A Population‐Based Latent Model of Social Conditions, Mattering, Perceived Discrimination, and Quality of Life

Monica Strømland, Ottar Ness, Isaac Prilleltensky, Dina von Heimburg et al.
Journal of Community & Applied Social Psychology
Health disparities and outcomes
article

The Relational and Structural Dimensions of Wellbeing: A Population‐Based Latent Model of Social Conditions, Mattering, Perceived Discrimination, and Quality of Life

Monica Strømland, Ottar Ness, Isaac Prilleltensky, Dina von Heimburg, John‐Kåre Vederhus, Jan Georg Friesinger
article en

Abstract

ABSTRACT Mattering, the experience of feeling valued and able to contribute, is a recognized determinant of wellbeing. Perceived discrimination (PD), or unfair treatment, is socially patterned and may communicate devaluation. Anti‐mattering, the subjective experience of insignificance and disregard, serves as a theoretical lens on PD, not a measured construct. Population‐level studies rarely examine mattering and PD together, their socio‐demographic patterning or associations with quality of life (QoL). In the 2024 Norwegian Quality of Life Survey ( N = 16,396), mattering, PD, and QoL were modelled as latent constructs in a structural equation model estimating direct and indirect associations with socio‐demographic predictors. Socio‐demographic factors explained 11% of the variance in mattering and 31% in PD, with the largest contributions to PD observed among younger adults and those with financial difficulties, health limitations, or immigrant backgrounds. Mattering was positively associated with QoL ( β = 0.55, β std = 0.59) and PD negatively ( β = −0.81, β std = −0.29), both p < 0.001; the model explained 61% of QoL variance. The difference in explained variance suggests that PD was more strongly patterned by the socio‐demographic factors included in the model than mattering. Welfare policy and practice therefore need to address mattering and discrimination relationally and structurally.

Journal of Community & Applied Social PsychologyVol. 36(6)
University of Miami (US), University of Agder (NO), Norwegian University of Science and Technology (NO), Sørlandet Sykehus (NO)
Openalex Percentile: Top 9%
Health disparities and outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.