Evidence map›Paper›PMID 30961604›Full record

ArticleBMC medicine2019

A step beyond the hygiene hypothesis-immune-mediated classes determined in a population-based study.

Vladeta Ajdacic-Gross, Margot Mutsch, Stephanie Rodgers, Anja Tesic, Mario Müller, Erich Seifritz, En-Young N Wagner, Roland von Känel, Markus A Landolt, Nina Steinemann and 8 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Review
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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

18 authors at 4 institutions in 2 countries.

Vladeta Ajdacic-GrossDepartment of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, PO Box 2019, CH-8021, Zurich, Switzerland. vajdacic@dgsp.uzh.ch.ORCID 0000-0002-7032-9237
Margot MutschEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Stephanie RodgersDepartment of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, PO Box 2019, CH-8021, Zurich, Switzerland.
Anja TesicDepartment of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, PO Box 2019, CH-8021, Zurich, Switzerland.
Mario MüllerDepartment of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, PO Box 2019, CH-8021, Zurich, Switzerland.
Erich SeifritzDepartment of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric Hospital, University of Zurich, PO Box 2019, CH-8021, Zurich, Switzerland.
En-Young N WagnerDepartment of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital, Zurich, Switzerland.
Roland von KänelDepartment of Consultation-Liaison Psychiatry and Psychosomatic Medicine, University Hospital, Zurich, Switzerland.
Markus A LandoltUniversity Children's Hospital Zurich and Children's Research Center, Zurich, Switzerland.
Nina SteinemannEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Viktor von WylEpidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.
Enrique CastelaoDepartment of Psychiatry, Center for Research in Psychiatric Epidemiology and Psychopathology, Lausanne University Hospital, Prilly, Switzerland.
Marie-Pierre F StrippoliDepartment of Psychiatry, Center for Research in Psychiatric Epidemiology and Psychopathology, Lausanne University Hospital, Prilly, Switzerland.
Jennifer GlausDepartment of Psychiatry, Center for Research in Psychiatric Epidemiology and Psychopathology, Lausanne University Hospital, Prilly, Switzerland.
Caroline VandeleurDepartment of Psychiatry, Center for Research in Psychiatric Epidemiology and Psychopathology, Lausanne University Hospital, Prilly, Switzerland.
Pedro M Marques-VidalCHUV Lausanne, University of Lausanne, Lausanne, Switzerland.
Peter VollenweiderCHUV Lausanne, University of Lausanne, Lausanne, Switzerland.
Martin PreisigDepartment of Psychiatry, Center for Research in Psychiatric Epidemiology and Psychopathology, Lausanne University Hospital, Prilly, Switzerland.
University of Zurich · CHUniversity Hospital of Zurich · CHUniversity of Lausanne · CHNational Institute of Mental Health · US

Funding

Cohort study of Lausanne (COLAUS) on cardiovascular diseases and depressionZIAMH002932 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MERIKANGAS, KATHLEEN R · 2011 to 2015
$604k
Intramural NIH HHS ZIA MH002932NIMH NIH HHS ZIA MH002932
6 · The paper itself

Abstract

backgroundComorbidity patterns of childhood infections, atopic diseases, and adverse childhood experiences (ACE) are related to immune system programming conditions. The aim of this study was to make a step beyond the hygiene hypothesis and to comprehensively classify these patterns with latent class analysis (LCA). A second aim was to characterize the classes by associations with immunological, clinical, and sociodemographic variables.

methodsLCA was applied to data from the CoLaus|PsyCoLaus study (N = 4874, age range 35-82 years) separately for men and women. It was based on survey information on chickenpox, measles, mumps, rubella, herpes simplex, pertussis, scarlet fever, hay fever, asthma, eczema, urticaria, drug allergy, interparental violence, parental maltreatment, and trauma in early childhood. Subsequently, we examined how immune-mediated classes were reflected in leukocyte counts, inflammatory markers (IL-1β, IL-6, TNF-α, hsCRP), chronic inflammatory diseases, and mental disorders, and how they differed across social classes and birth cohorts.

resultsLCA results with five classes were selected for further analysis. Latent classes were similar in both sexes and were labeled according to their associations as neutral, resilient, atopic, mixed (comprising infectious and atopic diseases), and ACE class. They came across with specific differences in biomarker levels. Mental disorders typically displayed increased lifetime prevalence rates in the atopic, the mixed, and the ACE classes, and decreased rates in the resilient class. The same patterns were apparent in chronic inflammatory diseases, except that the ACE class was relevant specifically in women but not in men.

conclusionsThis is the first study to systematically determine immune-mediated classes that evolve early in life. They display characteristic associations with biomarker levels and somatic and psychiatric diseases occurring later in life. Moreover, they show different distributions across social classes and allow to better understand the mechanisms beyond the changes in the prevalence of chronic somatic and psychiatric diseases.

Indexed as

Hygiene HypothesisLatent Class AnalysisAdultAgedAged, 80 and overAsthmaChildCommunicable DiseasesComorbidityFemaleHumansImmune System PhenomenaInflammationMaleMiddle AgedMultiple Chronic ConditionsBiomarkersChronic diseasesHygiene hypothesisImmune systemLatent class analysisMental disorders

Identifiers

PMID30961604
PMCPMC6454751
OpenAlexW2937108127

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.