Evidence map›Paper›PMID 39060724›Full record

ArticleSocial psychiatry and psychiatric epidemiology2025

Drowning in the ripple effect: identifying a syndemic network of health experience (with modifiable health behaviours) using the UK Biobank.

Silke Vereeken, Andre Bedendo, Simon Gilbody, Catherine E Hewit

Abstract read
In one paragraph

Article in Social psychiatry and psychiatric epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Silke VereekenMental Health and Addiction, Department of Health Sciences, University of York, York, UK. silke.vereeken@york.ac.uk.ORCID http://orcid.org/0000-0003-1432-8712
Andre BedendoDepartment of Health Sciences, Faculty of Sciences, University of York, York, UK.
Simon GilbodyMental Health and Addiction, Department of Health Sciences, University of York, York, UK.
Catherine E HewitYork Trials Unit, Department of Health Sciences, University of York, York, UK.

Funding

Centre for Future Health, University of York ES/S004459/1National Institute for Health and Care Research 200166UK Research and Innovation ES/S004459/1Wellcome TrustWellcome Trust 204829
6 · The paper itself

Abstract

A Syndemic model of health experience in severe mental illness (SMI) involving modifiable health behaviour contributors has been theorised but has not yet been investigated. Over the next 10 years mental ill-health and suicidal behaviours have been predicted to increase which will decrease health experience and increase hospitalisation and associated costs. This paper investigated a Syndemic model of health experience in people with SMI informed by physical activity levels, exposure to nature, personal resilience levels, drugs related (tobacco smoking and alcohol consumption), and sleep behaviours using UK Biobank data. Results implementing SEM indicate partial evidence for a Syndemic model, with personal resilience being at its centre. Contrary to previous findings, drugs related behaviours did not play an important role in the model. Implementing a Syndemic framework approach to current health care strategies could be beneficial in the development of self-management strategies for people with SMI. This is the first paper using SEM analyses to investigate SMI under the Syndemic theory paradigm.

Indexed as

Health BehaviorMental DisordersResilience, PsychologicalAdultAgedAlcohol DrinkingBiological Specimen BanksExerciseFemaleHumansMaleMiddle AgedUK BiobankUnited KingdomHealth behavioursMental healthSEMSMISyndemics

Identifiers

PMID39060724
PMCPMC11790710

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.