The injury illness sensitivity index – Revised: Further validation in a Dutch community sample

DOI

Injury/illness sensitivity (IS) is conceptualized as a fundamental fear that underlies fear-related psychopathology and chronic health conditions, including chronic pain. The current study examines the internal consistency, test– retest reliability, and factor structure of the Dutch version of the injury/illness sensitivity index-revised (ISI-R). In addition, we aimed to further validate the ISI-R by studying convergent and divergent validity. Participants (N = 255) were recruited in a Dutch community sample to complete an online questionnaire battery including the ISI-R and several validation measures. Four weeks later, 117 participants completed the ISI-R a second time. The ISI-R showed good internal consistency and test–retest reliability. Confirmatory factor analysis confirmed two correlated factors in the ISI-R: Fear of Injury and Fear of Illness. The measure’s validity was supported by strong correlations between the ISI-R and wellestablished pain and physical health-related anxiety measures, moderate correlations with measures that reflect general negative emotionality (e.g. anxiety, depression), and weak correlations with fear constructs that do not entail a direct link to a health threat. These results indicate the appropriateness of working with the Dutch ISI-R and its two subscales as a reliable and valid measure of fear of physical harm, Fear of Illness and Fear of Injury.

Identifier
DOI https://doi.org/10.34894/OMPSAU
Metadata Access https://dataverse.nl/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34894/OMPSAU
Provenance
Creator Vancleef, Linda M.G. ORCID logo; Meesters, Astrid ORCID logo; Schepers, Jan ORCID logo
Publisher DataverseNL
Contributor Vancleef, Linda M.G.; faculty data manager FPN
Publication Year 2020
Rights info:eu-repo/semantics/restrictedAccess
OpenAccess false
Contact Vancleef, Linda M.G. (Maastricht University); faculty data manager FPN (Maastricht University)
Representation
Resource Type experimental data; Dataset
Format application/x-spss-sav
Size 238940
Version 1.0
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Life Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences