Evidence map›Paper›PMID 41492655›Full record

ArticleThe Lancet regional health. Europe2026

Risk of new HIV diagnosis by intersecting migration, socioeconomic, and mental health vulnerabilities in the Netherlands: a nationwide analysis of the ATHENA cohort and Statistics Netherlands registry data.

Vita W Jongen, Anders Boyd, Patrizia Carrieri, Nina Schat, Selwyn H Lowe, Rosan van Zoest, Marit G A van Vonderen, Jolanda Lammers, Mark Verhagen, Ard van Sighem and 2 more

Abstract read
In one paragraph

Article in The Lancet regional health. Europe, 2026. 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. Ending HIV transmission in Europe.The Lancet regional health. Europe · 2026
    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

12 authors.

Vita W JongenStichting HIV Monitoring, Amsterdam, the Netherlands.
Anders BoydStichting HIV Monitoring, Amsterdam, the Netherlands.
Patrizia CarrieriAix Marseille Univ, INSERM, IRD, SESSTIM, Sciences Économiques & Sociales de la Santé & Traitement de L'information Médicale, ISSPAM, Marseille, France.
Nina SchatAmsterdam Health & Technology Institute, Amsterdam, the Netherlands.
Selwyn H LoweDepartment of Medical Microbiology, Infectious Diseases and Infection Prevention (MMI) and Department of Internal Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.
Rosan van ZoestAmsterdam Health & Technology Institute, Amsterdam, the Netherlands.
Marit G A van VonderenDepartment of Internal Medicine, Frisius Medical Center location Leeuwarden, Leeuwarden, Netherlands.
Jolanda LammersDepartment of Internal Medicine, Isala Hospital, Zwolle, the Netherlands.
Mark VerhagenAmsterdam Health & Technology Institute, Amsterdam, the Netherlands.
Ard van SighemStichting HIV Monitoring, Amsterdam, the Netherlands.
Marc van der ValkStichting HIV Monitoring, Amsterdam, the Netherlands.
ATHENA observational HIV cohort

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To further reduce new HIV diagnoses in the Netherlands, individual and structural barriers hindering prevention must be addressed. We aimed to estimate the disproportional burden of new HIV diagnoses and explore how intersecting socio-demographic, socio-economic, and health-related factors jointly influence the risk of a new HIV diagnosis. Methods: We combined data from the ATHENA cohort, an ongoing nationwide HIV cohort, with registry data from Statistics Netherlands. We selected individuals with a new HIV diagnosis between 1 January 2012 and 31 December 2023 and matched them to individuals from the general population. We assessed determinants of a new HIV diagnosis using a multivariable generalized linear model. We used Multilevel Analysis of Individual Heterogeneity and Discriminatory Accuracy (MAIHDA) to quantify the joint and individual contribution of intersecting variables. Findings: 6055 men and 1020 women were newly diagnosed with HIV. Having a migration background and a low to middle income or income below the poverty line was associated with a higher risk of a new HIV diagnosis for both men (low to middle: adjusted odd ratio (aOR) = 1.24, 95% confidence interval (CI) = 1.17-1.31; below the poverty line: aOR = 1.75, 95% CI = 1.62-1.89) and women (low to middle: aOR = 2.49, 95% CI = 2.05-3.01; below the poverty line: aOR = 4.71, 95% CI = 3.80-5.83). Use of mental health care (aOR = 1.14, 95% CI = 1.01-1.27) or antidepressants (aOR = 1.66, 95% CI = 1.50-1.84) also increased the risk among men; while receiving social welfare (aOR = 1.39, 95% CI = 1.15-1.67) and use of antipsychotic medication (aOR = 1.66, 95% CI = 1.21-2.28) increased the risk among women. Of all intersections identified in MAIHDA, men with a first-generation migration background, income below the poverty line, and who used antidepressants had the highest predicted probability of an HIV diagnosis (0.036%, 95% confidence interval (CI) = 0.025-0.052). Women with a first-generation background, income below the poverty line, who received social welfare, and who used antipsychotic medication had the highest predicted risk (0.019%, 95% CI = 0.011-0.035). Interpretation: A disproportionally higher burden of a new HIV diagnosis was observed for individuals with a migration background and economic and mental health vulnerabilities. HIV prevention and testing need to be reinforced in these groups. Funding: Dutch Ministry of Health, Welfare and Sport; TKI Health Holland.

Indexed as

DemographyHealthcare disparitiesHealth inequalitiesHIVSocioeconomic factors

Identifiers

PMID41492655
PMCPMC12765169

What OpenQuestion holds

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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.