Evidence map›Paper›PMID 30541028›Full record

ArticleInternational journal of epidemiology2019

Sexual mixing in opposite-sex partnerships in Britain and its implications for STI risk: findings from the third National Survey of Sexual Attitudes and Lifestyles (Natsal-3).

Rebecca S Geary, Andrew J Copas, Pam Sonnenberg, Clare Tanton, Eleanor King, Kyle G Jones, Viktoriya Trifonova, Anne M Johnson, Catherine H Mercer

Abstract read
In one paragraph

Article in International journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

9 authors.

Rebecca S GearyInstitute for Global Health, University College London, London, UK.
Andrew J CopasInstitute for Global Health, University College London, London, UK.
Pam SonnenbergInstitute for Global Health, University College London, London, UK.
Clare TantonInstitute for Global Health, University College London, London, UK.
Eleanor KingInstitute for Global Health, University College London, London, UK.
Kyle G JonesInstitute for Global Health, University College London, London, UK.
Viktoriya TrifonovaInstitute for Global Health, University College London, London, UK.
Anne M JohnsonInstitute for Global Health, University College London, London, UK.
Catherine H MercerInstitute for Global Health, University College London, London, UK.

Funding

Department of HealthMedical Research Council G0701757Wellcome TrustWellcome Trust 084840
6 · The paper itself

Abstract

backgroundThe extent to which individuals are similar to their sexual partners influences STI-transmission probabilities, yet there is a dearth of empirical data, especially those representative of the population.

methodsAnalyses of data reported by 10 759 sexually active people aged 16-74 y interviewed for a British national probability survey undertaken in 2010-12. Computer-assisted self-interviews asked about partner numbers and characteristics of participants' three most recent partnerships (MRPs). Opposite-sex MRPs were weighted to represent all such partnerships in the past year (N = 16 451). Estimates of disassortative age mixing (≥±5-y difference), ethnic mixing (partner of a different ethnic group) and geographical mixing (partner from a different region/country when they first met) were calculated, stratified by gender, age group and partnership status (casual/steady). Multivariable regression examined how these disassortative mixing measures were associated with STI-risk measures: condom use at first sex together at the partnership-level and, at the participant-level, STI-risk perception and reporting STI diagnoses.

resultsDisassortative age mixing occurred in around one-third of opposite-sex partnerships, with men ≥5 y older in most cases, although this proportion varied by participant's gender and age group. Ethnic mixing occurred less frequently (11.3% of men's and 8.6% of women's partnerships) as did geographical mixing (14.1 and 16.3%, respectively). Disassortative mixing was more common among casual vs steady partnerships. Condom use at first sex was less likely in women's partnerships that were age-disassortative [adjusted odds ratio (AOR): 0.79, 95% confidence interval (CI): 0.69-0.95], whereas men reporting disassortative ethnic mixing were more likely to perceive themselves at STI risk (AOR: 1.76, 95% CI: 1.23-2.52) and report STI diagnoses (AOR: 2.37, 95% CI: 1.22-4.59).

conclusionsDisassortative mixing, although uncommon among opposite-sex partnerships in Britain, is independently associated with STI risk, warranting consideration in STI-prevention efforts.

Indexed as

Sexual BehaviorSexual PartnersAdolescentAdultAgedEthnicityFemaleGeographyHumansInterviews as TopicLife StyleLogistic ModelsMaleMiddle AgedMultivariate AnalysisSexually Transmitted Diseasesassortative mixingdisassortative mixingheterosexualpopulationsexual behavioursexually transmitted infectionsexual mixingsexual partnerssurvey

Identifiers

PMID30541028
PMCPMC6380304

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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.