Evidence map›Paper›PMID 40283714›Full record

Observational studyInternational journal of environmental research and public health2025

Sex-Specific Multimorbidity-Multibehaviour Patterns in Primary Care Populations.

Konstantinos Spyropoulos, Naomi J Ellis, Christopher J Gidlow

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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.

Konstantinos SpyropoulosCentre for Health and Development (CHAD), University of Staffordshire, Stoke-on-Trent ST4 2DF, UK.ORCID 0000-0001-7217-9626
Naomi J EllisCentre for Health and Development (CHAD), University of Staffordshire, Stoke-on-Trent ST4 2DF, UK.
Christopher J GidlowSchool of Medicine, Keele University, University Road, Staffordshire ST5 5BG, UK.ORCID 0000-0003-4990-4572

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA conceptual shift in healthcare emphasises multimorbidity and multibehaviours as interconnected phenomena, highlighting dose-response associations and sex-specific differences. Data-driven approaches have been suggested for overcoming methodological challenges, of multimorbidity research. By using exploratory factor analysis, this study aimed to identify sex specific lifestyle associative multimorbidity patterns, providing valuable evidence to primary care providers and informing future multimorbidity guidelines.

methodsA retrospective observational study examined the electronic health records of three general practices in the UK between 2015 and 2018. The participants were aged 18+ with lifestyle multimorbidity, having engaged with multiple health risk behaviours. Stratified exploratory factor analysis with oblique rotation was used to identify sex specific lifestyle associative multimorbidity patterns.

resultsThe study included N = 7560 patients, with females comprising 53.9%. Eight independent lifestyle associative multimorbidity patterns were identified and distributed as follows. For females, three patterns emerged: cardiometabolic-neurovascular spectrum disorders (42.97% variance), respiratory conditions (8.08%), and sensory impairment (5.63%), with 25.4% assigned to these patterns. For males, five patterns were revealed: cardiometabolic-vascular spectrum disorders (34.10%), genitourinary (9.19%), respiratory-vision (8.20%), ocular (5.70%), and neurovascular-gastro-renal syndrome (4.54%), with 43%.

conclusionsWe revealed eight different sex-specific lifestyle-associated patterns, implying the need for tailored clinical approaches. The application of exploratory factor analysis yielded clinically valuable and scientifically rigorous multimorbidity patterns. Clinically, the findings advocate for a paradigm shift towards person-centred care, integrating multimorbidity and SNAP multibehaviours to enhance the complexity of inquiry and treatment of high-risk populations.

Indexed as

Life StyleMultimorbidityPrimary Health CareAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesSex FactorsUnited KingdomYoung Adultexploratory factor analysismultibehavioursmultimorbidityprimary caresex-specific multimorbidity patterns

Identifiers

PMID40283714
PMCPMC12026541

What Socratic holds

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LicenceCC BY
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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 Socratic graph.