Evidence map›Paper›PMID 28049459›Full record

ArticleBMC public health2017

Can psychosocial and socio-demographic questions help identify sexual risk among heterosexually-active women of reproductive age? Evidence from Britain's third National Survey of Sexual Attitudes and Lifestyles (Natsal-3).

Natalie Edelman, Jackie A Cassell, Richard de Visser, Philip Prah, Catherine H Mercer

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
7.4field-weighted citation impact, top 3% of its field
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

8 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
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  5. Smoking and HIV in Sub-Saharan Africa: A 25-Country Analysis of the Demographic Health Surveys.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2019
    Article
  6. Observational
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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

5 authors at 3 institutions in 1 country.

Natalie EdelmanBrighton & Sussex Medical School, 318b Mayfield House, Village Way, Brighton, Falmer, BN1 9PH, UK.
Jackie A CassellBrighton & Sussex Medical School, 318b Mayfield House, Village Way, Brighton, Falmer, BN1 9PH, UK.
Richard de VisserSchool of Psychology, Room 1C12 Pevensey1, University of Sussex, Brighton, BN1 9RH, UK.
Philip PrahCentre for Sexual Health and HIV Research, University College London, 3rd Floor Mortimer Market Centre off Capper Street, London, WC1E 6JB, UK.
Catherine H MercerCentre for Sexual Health and HIV Research, University College London, 3rd Floor Mortimer Market Centre off Capper Street, London, WC1E 6JB, UK. c.mercer@ucl.ac.uk.
Brighton and Sussex Medical School · GBMortimer Market Centre · GBUniversity of Sussex · GB

Funding

Department of Health DRF-2013-06-004Medical Research Council G0701757Wellcome Trust 084840
6 · The paper itself

Abstract

backgroundContraceptive advice and supply (CAS) and sexually transmitted infection (STI) testing are increasingly provided in primary care. Most risk assessment tools are based on sexual risk behaviours and socio-demographics, for use online or in specialist services. Combining socio-demographic and psychosocial questions (e.g. religious belief and formative experience) may generate an acceptable tool for targeting women in primary care who would benefit from intervention. We aimed to identify psychosocial and socio-demographic factors associated with reporting key sexual risk behaviours among women in the British general population.

methodsWe undertook complex survey analysis of data from 4911 hetero-sexually active women aged 16-44 years, who participated in Britain's third National Survey of Sexual Attitudes and Lifestyles (Natsal-3), a national probability sample survey undertaken 2010-2012. We used multivariable regression to examine associations between the available psychosocial and socio-demographic variables in Natsal-3 and reports of three key sexual behaviours: a) 2+ partners in the last year (2PP); b) non-use of condoms with 2+ partners in the last year (2PPNC); c) non-use of condoms at first sex with most recent sexual partner (FSNC). We adjusted for key socio-demographic factors: age, ethnicity and socio-economic status (measured by housing tenure).

resultsWeekly binge drinking (6+ units on one occasion), and first sex before age 16 were each positively associated with all three sexual behaviours after adjustment. Current relationship status, reporting drug use (ever), younger age and living in rented accommodation were also associated with 2+ partners and 2 + partners without condoms after adjustment. Currently being a smoker, older age and respondent ethnicity were associated with FSNC after adjustment for all other variables. Current smoking status, treatment for depression (last year), and living at home with both parents until the age of 14 were each associated with one or more of the behaviours.

conclusionsReported weekly binge drinking, early sexual debut, and age group may help target STI testing and/or CAS among women. Further research is needed to examine the proportion of sexual risk explained by these factors, the acceptability of these questions to women in primary care and the need to customise them for community and other settings.

Indexed as

Life StyleSexual PartnersAdultAttitudeContraceptive AgentsFemaleHeterosexualityHumansMaleMiddle AgedPrimary Health CareSexual BehaviorSexually Transmitted DiseasesUnited KingdomYoung AdultContraceptive AgentsPsychosocialSexual riskSocio-demographicSurveyWomen

Identifiers

PMID28049459
PMCPMC5209946
OpenAlexW2567460941

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.