ArticleSSM - population health2019
The association of self-reported discrimination to all-cause mortality: A population-based prospective cohort study.
Article in SSM - population health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
What it found
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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
5 citing papers in PubMed.
- Association between perceived discrimination and depressive symptoms among male and female mining workers in Chile: a sex-stratified analysis and the mediating role of psychological distress.BMC public health · 2026Article
- Concurrent and convergent construct validities of the 5-item World Health Organization Ageism Experiences Scale in older French Canadians.The Gerontologist · 2025Article
- Difference in All-Cause Mortality between Unemployed and Employed Black Men: Analysis Using the National Health and Nutrition Examination Survey (NHANES) III.International journal of environmental research and public health · 2023Article
- Integrating time into stigma and health research.Nature reviews psychology · 2022Review
- Self-Care Capacity and Its Relationship to Age, Disability, and Perceived Well-Being in Medicare Beneficiaries.Nursing researchArticle
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Discrimination has is an important social determinant of health and though some research has been carried out on this it is mostly from the United States, which may not be generalisable to Europe and Sweden. This study investigated the association between self-reported experiences of repeated discrimination and all-cause mortality in Scania, Sweden. The Scania Public Health survey was sent out in 2008 with a follow-up in 2013 through the Swedish national cause of death register (N=28,062). The exposure variable under investigation was self-reported discrimination and the outcome variable was all-cause mortality. Additional variables included demographics (age, sex, marital status, immigrant status), health behaviours (smoking, alcohol consumption, physical exercise), BMI, social participation, economic stress, and mental health. Time was measured as total number of days. Statistical analysis included association of the different variables to discrimination (ORs) and to all-cause mortality (HRs) adjusting for different covariates. Effect modification was tested for social participation, economic stress and mental health. The odds of discrimination was higher among the most vulnerable groups in society. All-cause mortality was strongly associated to age and sex, with a much higher risk among men than women. The association of repeated discrimination to all-cause mortality remained significant after adjusting for demographic variables, health behaviours and either social participation or economic stress, but not both. The association was non-significant after adjusting for demographic variables and mental health. Social participation was found to be an effect modifier with low participation strengthening the effect of the association of repeated discrimination to all-cause mortality. Repeated discrimination clearly has a strong impact on mental health but also on economic stress and social participation which in turn have a strong impact on mortality.
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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.