Evidence map›Paper›PMID 42824940›Full record

ArticleBMJ public health2026

How STI trends track changes in sexual behaviour, online dating and sexual orientation demographics: an analysis of reported bacterial STI incidence and three social behavioural surveys in the USA (2010-2024).

Haokun Yuan, Jason Zucker, Sen Pei, Wan Yang

Abstract read
In one paragraph

Article in BMJ public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Haokun YuanDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA.
Jason ZuckerDivision of Infectious Diseases, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.ORCID https://orcid.org/0000-0001-6987-6412
Sen PeiDepartment of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA.ORCID https://orcid.org/0000-0002-7072-2995
Wan YangDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York, USA.ORCID https://orcid.org/0000-0002-7555-9728

Funding

Disease Persistence and Population Dynamics: Modeling Measles under Mass VaccinationR01AI145883 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI YANG, WAN · 2019 to 2024
$2.5M
Early detection and inference for emerging infectious agents in data-sparse settingsR35GM156799 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PEI, SEN · 2025 to 2025
$2.1M
Harnessing Bioinformatics for HIV Prevention: Understanding Persistence in Comprehensive HIV Prevention ServicesK23AI150378 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ZUCKER, JASON · 2020 to 2024
$960k
Using wastewater surveillance data to study SARS-CoV-2 dynamics and predict COVID-19 outcomesR21AI175747 · NIAID · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI YANG, WAN · 2023 to 2024
$452k
NIAID NIH HHS K23 AI150378NIAID NIH HHS R01 AI145883NIAID NIH HHS R21 AI175747NIGMS NIH HHS R35 GM156799
6 · The paper itself

Abstract

Introduction: Bacterial sexually transmitted infections (STIs) in the USA rose substantially in the 2010s and incidence remains high, despite reported declines after the COVID-19 pandemic. We aimed to better understand potential changes that may be contributing to these epidemic trends, particularly new behavioural and demographic patterns in the online dating era since ~2010. Methods: We used joinpoint models to examine trends in reported incidence for three notifiable bacterial STIs (ie, chlamydia, gonorrhoea and syphilis) in the USA during 2010-2024, and analysed concurrent changes in sexual behaviour, online dating and sexual orientation demographics using three national datasets (ie, the National Survey of Family Growth, General Social Survey and How Couples Meet and Stay Together). Results: Reported incidence rates of the three STIs increased during 2010-2019 and declined after circa 2020. Common STI behaviour indicators (eg, partner change rate) did not show changes consistent with the STI trends. In contrast, online dating partnership data suggested higher shares of partnerships formed within the same age group among online daters than offline daters. Analyses of sexual orientation demographics revealed marked increases in the population share self-reported as bisexual, particularly among young adults and females, and identified two candidate groups for further investigation (same-sex males and bisexual females) with group-level partner change metrics correlated with STI incidence rates. Conclusions: New partnership patterns among online daters and changing demographics of sexual orientation may have influenced STI trends in the USA during 2010-2024. Research is needed to quantify their impacts on STI epidemics.

Indexed as

Public HealthSexual HealthSexually Transmitted Diseases

Identifiers

PMID42824940
PMCPMC13630159

What OpenQuestion holds

Textmetadata
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.