Evidence map›Paper›PMID 28081045›Full record

ArticleSexually transmitted diseases2017

Changes in the Distribution of Sex Partners in the United States: 2002 to 2011-2013.

Christopher R Harper, Patricia J Dittus, Jami S Leichliter, Sevgi O Aral

Abstract read
In one paragraph

Article in Sexually transmitted diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Adapting Sexual Behavior Survey Data to Parameterize an Agent-Based Model of Human Papillomavirus (HPV) Transmission.Medical decision making : an international journal of the Society for Medical Decision Making · 2026
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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

4 authors.

Christopher R HarperFrom the Division of STD Prevention, Centers for Disease Control and Prevention, Atlanta, GA.
Patricia J Dittus
Jami S Leichliter
Sevgi O Aral

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectiveThe purpose of the current analysis is to examine subgroup differences in the distribution of opposite-sex sex partners in the United States across an approximate 10-year period to identify patterns that may inform sexually transmitted infection research and prevention.

methodsData were drawn from the 2002 and 2011-2013 National Survey of Family Growth, a US probability-based household survey focusing on sexual and reproductive health. The measures included in this analysis were lifetime opposite-sex sex partners and opposite-sex sex partners in the past year. Analyses were conducted separately for men and women. All analyses were conducted in R and R-studio with the "survey" package, focusing on medians, the 80th, and 95th quartile.

resultsIn 2002, there were significant differences between men and women in median number of lifetime sex partners with men reporting more lifetime partners. However, in the 2011-2013 data, these differences are no longer significant. Still, the findings suggest that the top 20% and top 5% of men are reporting significantly more lifetime partners than their female counterparts. In comparison, partners in the past year remain relatively unchanged for both men and women.

conclusionsThese findings suggest that there were important changes in the distribution of sex partners between 2002 and 2011-2013 that have implications for sexually transmitted infection prevention. Median lifetime partners are no longer different for women and men: however, the distribution of lifetime partners among men is becoming even more skewed.

Indexed as

Sexual BehaviorSexual PartnersAdolescentAdultFemaleHumansMaleRiskSexually Transmitted DiseasesYoung Adult

Identifiers

PMID28081045
PMCPMC10926320

What OpenQuestion holds

Textmetadata
LicenceTDM
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.