Trends in Socioeconomic Inequalities in Self-rated Health and Mental Distress During Four Decades in a Norwegian Population: a HUNT Study

Overview

Journal Eur J Public Health

Publisher Oxford University Press

Specialty Public Health

Date 2024 Jun 7

PMID 38848711

Authors

Hanne Dahl Vonen

Erik R Sund

Inger Ariansen

Steinar Krokstad

Affiliations

Soon will be listed here.

Abstract

Background: Socioeconomic inequalities constitute an important focus area for public health, and it has long been established that higher educational level and longer lifespan are correlated. Little is known about decennial time trends in poor self-rated health and mental distress.

Methods: This study linked decennial cross-sectional survey data on self-rated health and mental distress from the Trøndelag Health Study (HUNT) from 1984 to 2019 with educational registry data using personal identification numbers. Survey participation ranged from 50 807 to 77 212. Slope index of inequality (SII) and relative index of inequality (RII) were calculated using generalized linear models in Stata. Analyses were stratified by sex and age, using the age categories of 30-59 years and 60-80 years.

Results: Absolute inequalities in self-rated health and mental distress between educational groups have stayed relatively stable throughout all rounds of HUNT. Relative inequalities in self-rated health and mental distress have generally increased, and both men and women with the lowest education level were more likely to experience poor self-rated health and mental distress relative to those with the highest education level. RII in self-rated health increased over time for both sexes and both age groups. RII for mental distress increased in both sexes and both age groups, except for men and women aged 60-80.

Discussion: This study shows that relative inequalities in self-rated and mental health in the Norwegian population are still persistent and have increased. Further knowledge about groups with a disadvantageous health situation should have implications for health care resource allocation.

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