AI Article Synopsis

  • This study looked at how having a child with unusual genital appearance affects parents' daily lives and feelings, called "illness intrusiveness."
  • Researchers created a survey to measure this and tested it with 102 parents of young kids with a condition called DSD.
  • They found that the survey worked well in measuring how illness affects parents, either as one single score or split into two parts: daily living and feeling connected to the community.

Article Abstract

Objective: Illness intrusiveness refers to the subjective cognitive appraisal of a chronic health condition interfering in daily, valued activities and may be highly relevant for parents of children with atypical genital appearance due to differences of sex development (DSD). However, a measure of illness intrusiveness has not been validated for this population. The current study aimed to evaluate the factor structure of the Illness Intrusiveness Scale for Parents (IIS-P) and examine convergent validity.

Methods: Participants included 102 parents (Mage = 33.39 years, SD = 6.48; 58% mothers) of 65 children (<2 years old) diagnosed with DSD participating in a larger, longitudinal study. Parents completed the IIS-P as well as self-report measures of stigma, and anxious and depressive symptoms. An exploratory factor analysis (EFA) was conducted.

Results: EFA results supported a 1-factor intrusiveness solution (α = .93), as well as a 2-factor solution measuring intrusiveness on daily living (α = .92) and community connectedness (α = .85). The 1-factor solution and both factors of the 2-factor solution demonstrated significant convergent validity with stigma as well as anxious and depressive symptoms.

Conclusions: Support emerged for both 1- and 2-factor solutions of the IIS-P in parents of children with DSD. The decision to evaluate illness intrusiveness as a total score or to examine the subscales of daily living and community connectedness should be tailored to the unique aims of researchers and clinicians. Future research should conduct a confirmatory factor analysis with both 1- and 2-factor models with larger, more diverse samples of caregivers.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11258802PMC
http://dx.doi.org/10.1093/jpepsy/jsae027DOI Listing

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