Evidence map›Paper›PMID 30730928›Full record

ArticlePloS one2019

Modern health worries: Deriving two measurement invariant short scales for cross-cultural research with Ant Colony Optimization.

Gabriel Olaru, Oliver Wilhelm, Steven Nordin, Michael Witthöft, Ferenc Köteles

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 19 citations in OpenAlex.

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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

5 authors at 4 institutions in 3 countries.

Gabriel OlaruPsychological Assessment, University of Kassel, Kassel, Germany.ORCID 0000-0002-7430-7350
Oliver WilhelmIndividual Differences and Psychological Assessment, Ulm University, Ulm, Germany.
Steven NordinDepartment of Psychology, Umeå University, Umeå, Sweden.
Michael WitthöftDepartment of Clinical Psychology, Psychotherapy, and Experimental Psychopathology, Johannes Gutenberg-University, Mainz, Germany.
Ferenc KötelesInstitute of Health Promotion and Sport Sciences, ELTE Eötvös Loránd University, Budapest, Hungary.
Eötvös Loránd University · HUJohannes Gutenberg University Mainz · DEUmeå University · SEUniversity of Kassel · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Worries about possible harmful effects of new technologies (modern health worries) have intensely been investigated in the last decade. However, the comparability of translated self-report measures across countries is often problematic. This study aimed to overcome this problem by developing psychometrically sound brief versions of the widely used 25-item Modern Health Worries Scale (MHWS) suitable for multi-country use. Based on data of overall 5,176 individuals from four European countries (England, Germany, Hungary, Sweden), Ant Colony Optimization was used to identify the indicators that optimize model fit and measurement invariance across countries. Two scales were developed. A short (12-item) version of the MHWS that represents the four-factor structure of the original version and an ultra-short (4-item) scale that only measures the general construct. Both scales show that overall levels of health worries were highest in England and Hungary, but that the main reason for concern (e.g. electromagnetic radiation or food related fears) differs considerably between these countries. This study also shows that even if measurement invariance of translated self-report instruments across countries is problematic, it can be optimized by using adequate item selection procedures. Differences of modern health worries across countries and recommendations for cross-cultural research are discussed.

Indexed as

AlgorithmsAnxietyAttitude to HealthModels, PsychologicalAdolescentAdultAgedCross-Cultural ComparisonEuropeFemaleHumansMaleMiddle AgedPsychometrics

Identifiers

PMID30730928
PMCPMC6366774
OpenAlexW2911527114

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.