Evidence map›Paper›PMID 31145447›Full record

ArticleAmerican journal of epidemiology2019

A Multidimensional Approach to Assessing Infectious Disease Risk: Identifying Risk Classes Based on Psychological Characteristics.

Daphne A van Wees, Janneke C M Heijne, Titia Heijman, Karlijn C J G Kampman, Karin Westra, Anne de Vries, John de Wit, Mirjam E E Kretzschmar, Chantal den Daas

Open access · hybridAbstract read
In one paragraph

Article in American journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.9field-weighted citation impact, top 12% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
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 at 4 institutions in 1 country.

Daphne A van WeesCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
Janneke C M HeijneCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
Titia HeijmanPublic Health Service Amsterdam, Amsterdam, the Netherlands.
Karlijn C J G KampmanPublic Health Service Twente, Enschede, the Netherlands.
Karin WestraPublic Health Service Hollands Noorden, Alkmaar, the Netherlands.
Anne de VriesPublic Health Service Kennemerland, Haarlem, the Netherlands.
John de WitDepartment of Interdisciplinary Social Science, Faculty of Social and Behavioral Sciences, Utrecht University, Utrecht, the Netherlands.
Mirjam E E KretzschmarCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
Chantal den DaasCentre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, the Netherlands.
Utrecht University · NLNational Institute for Public Health and the Environment · NLGGD Amsterdam · NLSpaarne Gasthuis · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prevention of infectious diseases depends on health-related behavior, which is often influenced by psychological characteristics. However, few studies assessing health-related behavior have examined psychological characteristics to identify risk groups, and this multidimensional approach might improve disease risk assessment. We aimed to characterize subgroups based on psychological characteristics and examine their influence on behavior and disease risk, using chlamydia as a case study. Selected participants (heterosexuals aged 18-24 years and females aged 18-24 years who had sex with both men and women) in a Dutch longitudinal cohort study (the Mathematical Models Incorporating Psychological Determinants: Control of Chlamydia Transmission (iMPaCT) Study) filled out a questionnaire and were tested for chlamydia (2016-2017). Latent class analysis was performed to identify risk classes using psychological predictors of chlamydia diagnosis. Two classes were identified: class 1 (n = 488; 9% chlamydia diagnosis) and class 2 (n = 325; 13% chlamydia diagnosis). The proportion of participants with high shame, high impulsiveness, and lower perceived importance of health was higher in class 2 than in class 1. Furthermore, persons in class 2 were more likely to be male and to report condomless sex compared with class 1, but the number of recent partners was comparable. Thus, risk classes might be distinguished from each other by psychological characteristics beyond sexual behavior. Therefore, the impact of the same intervention could differ, and tailoring interventions based on psychological characteristics might be necessary to reduce chlamydia prevalence most effectively.

Indexed as

Health BehaviorAdolescentChlamydia InfectionsChlamydia trachomatisFemaleHeterosexualityHumansLatent Class AnalysisLongitudinal StudiesMaleNetherlandsPrevalenceRisk AssessmentRisk-TakingSex FactorsSexual BehaviorChlamydia trachomatishealth behaviorinfectious diseaseslatent class analysispsychological factorsrisk behaviorrisk factors

Identifiers

PMID31145447
PMCPMC6736114
OpenAlexW2947735407

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.