Evidence map›Paper›PMID 39749468›Full record

ArticleSociology of health & illness2025

From Straight Lines to Twists and Turns: Finding Patterns Between Socio-Economics and Unequal Health Outcomes in the Life Course.

Janna Goijaerts, Natascha van der Zwan, Jet Bussemaker

Abstract read
In one paragraph

Article in Sociology of health & illness, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Janna GoijaertsDepartment Public Health and Primary Care/Health Campus The Hague, Leiden University Medical Centre, The Hague, Netherlands.ORCID 0000-0002-9781-1963
Natascha van der ZwanInstitute of Public Administration, Faculty Governance and Global Affairs, Leiden University, The Hague, Netherlands.
Jet BussemakerDepartment Public Health and Primary Care/Health Campus The Hague, Leiden University Medical Centre, The Hague, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite welfare state expansion in liberal democracies during the 20th century, health inequalities between socio-economic groups persist. Understanding individuals' lived experiences can inform policy for reducing unequal health outcomes in these lives. We build on Fundamental Cause Theory (FCT), which posits that low socio-economic status is the fundamental cause of health problems in (later) life. We argue that this theory is incomplete in developing policy interventions to tackle unequal health outcomes, because it assumes the relationship between socio-economic status and health to be linear and unidirectional. Based on our findings from biographic interviews of 15 disadvantaged individuals in the Netherlands, we propose a refinement of FCT by taking into account the complex life trajectories of individuals experiencing unequal health outcomes. Specifically, we argue that these individuals' trajectories can be broken down into at least five distinct patterns (ping-pong, snowball, escalator, quicksand and lever) between socio-economic and health issues. These patterns provide a theoretical addition to the existing FCT on the dynamics of life trajectories, the intensity with which problems develop and the importance of external factors. This helps not only to understand the emergence of health problems, but also to imagine more suitable policy responses.

Indexed as

Health Status DisparitiesSocioeconomic FactorsFemaleHumansMaleNetherlandsSocial Classbiographic interviewsFundamental Cause Theoryhealth inequalitylife trajectorypolicy entry points

Identifiers

PMID39749468
PMCPMC11696486

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Registered trials

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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.