How can we objectively categorise partnership type? A novel classification of population survey data to inform epidemiological research and clinical practice

C.H. Mercer, K.G. Jones, A.M. Johnson, R. Lewis, K.R. Mitchell, K. Gravningen, S. Clifton, C. Tanton, P. Sonnerberg, K. Wellings, J.A. Cassell, C.S. Estcourt

Research output: Contribution to journalArticle

27 Downloads (Pure)

Abstract

Background Partnership type is a determinant of STI risk; yet, it is poorly and inconsistently recorded in clinical practice and research. We identify a novel, empirical-based categorisation of partnership type, and examine whether reporting STI diagnoses varies by the resulting typologies.

Methods Analyses of probability survey data collected from 15 162 people aged 16–74 who participated in Britain's third National Survey of Sexual Attitudes and Lifestyles were undertaken during 2010–2012. Computer-assisted self-interviews asked about participants' =3 most recent partners (N=14 322 partners/past year). Analysis of variance and regression tested for differences in partnership duration and perceived likelihood of sex again across 21 ‘partnership progression types’ (PPTs) derived from relationship status at first and most recent sex. Multivariable regression examined the association between reporting STI diagnoses and partnership type(s) net of age and reported partner numbers (all past year).

Results The 21 PPTs were grouped into four summary types: ‘cohabiting’, ‘now steady’, ‘casual’ and ‘ex-steady’ according to the average duration and likelihood of sex again. 11 combinations of these summary types accounted for 94.5% of all men; 13 combinations accounted for 96.9% of all women. Reporting STI diagnoses varied by partnership-type combination, including after adjusting for age and partner numbers, for example, adjusted OR: 6.03 (95% CI 2.01 to 18.1) for men with two ‘casual’ and one ‘now steady’ partners versus men with one ‘cohabiting’ partner.

Conclusions This typology provides an objective method for measuring partnership type and demonstrates its importance in understanding STI risk, net of partner numbers. Epidemiological research and clinical practice should use these methods and results to maximise individual and public health benefit.
Original languageEnglish
Pages (from-to)129–136
Number of pages8
JournalSexually Transmitted Infections
Early online date17 Aug 2016
DOIs
Publication statusPublished - Mar 2017

Fingerprint

Sexually Transmitted Diseases
Research
Population
Insurance Benefits
Life Style
Analysis of Variance
Public Health
Surveys and Questionnaires
Interviews

Keywords

  • partnership type
  • classification
  • population survey
  • epidemiological research

Cite this

Mercer, C.H. ; Jones, K.G. ; Johnson, A.M. ; Lewis, R. ; Mitchell, K.R. ; Gravningen, K. ; Clifton, S. ; Tanton, C. ; Sonnerberg, P. ; Wellings, K. ; Cassell, J.A. ; Estcourt, C.S. / How can we objectively categorise partnership type? A novel classification of population survey data to inform epidemiological research and clinical practice. In: Sexually Transmitted Infections. 2017 ; pp. 129–136.
@article{638b1a1ef5464ce7be0924aa89df6821,
title = "How can we objectively categorise partnership type? A novel classification of population survey data to inform epidemiological research and clinical practice",
abstract = "Background Partnership type is a determinant of STI risk; yet, it is poorly and inconsistently recorded in clinical practice and research. We identify a novel, empirical-based categorisation of partnership type, and examine whether reporting STI diagnoses varies by the resulting typologies.Methods Analyses of probability survey data collected from 15 162 people aged 16–74 who participated in Britain's third National Survey of Sexual Attitudes and Lifestyles were undertaken during 2010–2012. Computer-assisted self-interviews asked about participants' =3 most recent partners (N=14 322 partners/past year). Analysis of variance and regression tested for differences in partnership duration and perceived likelihood of sex again across 21 ‘partnership progression types’ (PPTs) derived from relationship status at first and most recent sex. Multivariable regression examined the association between reporting STI diagnoses and partnership type(s) net of age and reported partner numbers (all past year).Results The 21 PPTs were grouped into four summary types: ‘cohabiting’, ‘now steady’, ‘casual’ and ‘ex-steady’ according to the average duration and likelihood of sex again. 11 combinations of these summary types accounted for 94.5{\%} of all men; 13 combinations accounted for 96.9{\%} of all women. Reporting STI diagnoses varied by partnership-type combination, including after adjusting for age and partner numbers, for example, adjusted OR: 6.03 (95{\%} CI 2.01 to 18.1) for men with two ‘casual’ and one ‘now steady’ partners versus men with one ‘cohabiting’ partner.Conclusions This typology provides an objective method for measuring partnership type and demonstrates its importance in understanding STI risk, net of partner numbers. Epidemiological research and clinical practice should use these methods and results to maximise individual and public health benefit.",
keywords = "partnership type, classification, population survey, epidemiological research",
author = "C.H. Mercer and K.G. Jones and A.M. Johnson and R. Lewis and K.R. Mitchell and K. Gravningen and S. Clifton and C. Tanton and P. Sonnerberg and K. Wellings and J.A. Cassell and C.S. Estcourt",
note = "Acceptance date from PDF Exception: Author not at GCU at time of acceptance ET 19/12/19",
year = "2017",
month = "3",
doi = "10.1136/sextrans-2016-052646",
language = "English",
pages = "129–136",
journal = "Sexually Transmitted Infections",
issn = "1368-4973",
publisher = "BMJ Publishing Group",

}

Mercer, CH, Jones, KG, Johnson, AM, Lewis, R, Mitchell, KR, Gravningen, K, Clifton, S, Tanton, C, Sonnerberg, P, Wellings, K, Cassell, JA & Estcourt, CS 2017, 'How can we objectively categorise partnership type? A novel classification of population survey data to inform epidemiological research and clinical practice', Sexually Transmitted Infections, pp. 129–136. https://doi.org/10.1136/sextrans-2016-052646

How can we objectively categorise partnership type? A novel classification of population survey data to inform epidemiological research and clinical practice. / Mercer, C.H.; Jones, K.G.; Johnson, A.M.; Lewis, R.; Mitchell, K.R.; Gravningen, K.; Clifton, S.; Tanton, C.; Sonnerberg, P.; Wellings, K.; Cassell, J.A.; Estcourt, C.S.

In: Sexually Transmitted Infections, 03.2017, p. 129–136.

Research output: Contribution to journalArticle

TY - JOUR

T1 - How can we objectively categorise partnership type? A novel classification of population survey data to inform epidemiological research and clinical practice

AU - Mercer, C.H.

AU - Jones, K.G.

AU - Johnson, A.M.

AU - Lewis, R.

AU - Mitchell, K.R.

AU - Gravningen, K.

AU - Clifton, S.

AU - Tanton, C.

AU - Sonnerberg, P.

AU - Wellings, K.

AU - Cassell, J.A.

AU - Estcourt, C.S.

N1 - Acceptance date from PDF Exception: Author not at GCU at time of acceptance ET 19/12/19

PY - 2017/3

Y1 - 2017/3

N2 - Background Partnership type is a determinant of STI risk; yet, it is poorly and inconsistently recorded in clinical practice and research. We identify a novel, empirical-based categorisation of partnership type, and examine whether reporting STI diagnoses varies by the resulting typologies.Methods Analyses of probability survey data collected from 15 162 people aged 16–74 who participated in Britain's third National Survey of Sexual Attitudes and Lifestyles were undertaken during 2010–2012. Computer-assisted self-interviews asked about participants' =3 most recent partners (N=14 322 partners/past year). Analysis of variance and regression tested for differences in partnership duration and perceived likelihood of sex again across 21 ‘partnership progression types’ (PPTs) derived from relationship status at first and most recent sex. Multivariable regression examined the association between reporting STI diagnoses and partnership type(s) net of age and reported partner numbers (all past year).Results The 21 PPTs were grouped into four summary types: ‘cohabiting’, ‘now steady’, ‘casual’ and ‘ex-steady’ according to the average duration and likelihood of sex again. 11 combinations of these summary types accounted for 94.5% of all men; 13 combinations accounted for 96.9% of all women. Reporting STI diagnoses varied by partnership-type combination, including after adjusting for age and partner numbers, for example, adjusted OR: 6.03 (95% CI 2.01 to 18.1) for men with two ‘casual’ and one ‘now steady’ partners versus men with one ‘cohabiting’ partner.Conclusions This typology provides an objective method for measuring partnership type and demonstrates its importance in understanding STI risk, net of partner numbers. Epidemiological research and clinical practice should use these methods and results to maximise individual and public health benefit.

AB - Background Partnership type is a determinant of STI risk; yet, it is poorly and inconsistently recorded in clinical practice and research. We identify a novel, empirical-based categorisation of partnership type, and examine whether reporting STI diagnoses varies by the resulting typologies.Methods Analyses of probability survey data collected from 15 162 people aged 16–74 who participated in Britain's third National Survey of Sexual Attitudes and Lifestyles were undertaken during 2010–2012. Computer-assisted self-interviews asked about participants' =3 most recent partners (N=14 322 partners/past year). Analysis of variance and regression tested for differences in partnership duration and perceived likelihood of sex again across 21 ‘partnership progression types’ (PPTs) derived from relationship status at first and most recent sex. Multivariable regression examined the association between reporting STI diagnoses and partnership type(s) net of age and reported partner numbers (all past year).Results The 21 PPTs were grouped into four summary types: ‘cohabiting’, ‘now steady’, ‘casual’ and ‘ex-steady’ according to the average duration and likelihood of sex again. 11 combinations of these summary types accounted for 94.5% of all men; 13 combinations accounted for 96.9% of all women. Reporting STI diagnoses varied by partnership-type combination, including after adjusting for age and partner numbers, for example, adjusted OR: 6.03 (95% CI 2.01 to 18.1) for men with two ‘casual’ and one ‘now steady’ partners versus men with one ‘cohabiting’ partner.Conclusions This typology provides an objective method for measuring partnership type and demonstrates its importance in understanding STI risk, net of partner numbers. Epidemiological research and clinical practice should use these methods and results to maximise individual and public health benefit.

KW - partnership type

KW - classification

KW - population survey

KW - epidemiological research

U2 - 10.1136/sextrans-2016-052646

DO - 10.1136/sextrans-2016-052646

M3 - Article

SP - 129

EP - 136

JO - Sexually Transmitted Infections

JF - Sexually Transmitted Infections

SN - 1368-4973

ER -