Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 54 min ago
Peer-reviewedCC BYFrontiers in Digital Health

Psychometric properties of the symptom and nutrition assessment questionnaire: a preliminary investigation using real-world digital health data from WellTheory

  1. 1it Minded, Inc, Phoenix, AZ, United States

Abstract

IntroductionAutoimmune conditions impose multidomain symptom burdens that existing validated instruments inadequately capture in digital health contexts, where proprietary patient-reported outcome measures are widely deployed but rarely formally evaluated.MethodsThis retrospective study examined the psychometric properties of the Symptom and Nutrition Assessment Questionnaire (SNAQ) in 734 adults enrolled on the WellTheory digital health platform, approximately one-third of whom carried a formal autoimmune diagnosis.ResultsInternal consistency of the final 10-item measure was acceptable to good (Cronbach's α = .83; McDonald's ω = .91; ωh = .63). Exploratory factor analysis in a training subsample supported a four-factor structure reflecting neuro/autonomic symptoms, fatigue and energy, musculoskeletal pain, and upper gastrointestinal symptoms, confirmed via confirmatory factor analysis in an independent held-out test subsample. Total scores showed small-to-moderate positive associations with depression, anxiety, fatigue severity, and pain interference, and a small negative association with life satisfaction, with domain-level patterns consistent with a priori hypotheses. Among 178 participants with paired assessments within 24 weeks, total SNAQ scores showed a statistically significant reduction (mean difference = -1.89 points; SRM = -0.45), with the largest domain-level change observed for Upper GI symptoms.DiscussionThese findings provide preliminary support for the SNAQ's psychometric properties as a multidomain symptom monitoring instrument and offer a methodological model for evaluating proprietary outcome measures in real-world digital health settings. Future work should prioritize discriminant validity testing, test-retest reliability, and establishment of clinically interpretable change thresholds.

Related

  1. Preliminary Psychometric Evaluation of an Ultraviolet Radiation-Related Questionnaire in a Case-Control Sample
    Joshua Huang, Trafford Crump, Jorge Agi +1
    Ocular Oncology and PathologyPeer-reviewedLicence not statedFull textGeneral medicinePMC
  2. Development and Preliminary Psychometric Evaluation of a Questionnaire on Comprehensive Protection, Quality, and Humanization in Pediatric Hospital Care
    Germán Rojas Loyola, Begoña Polonio-López, Juan José Criado-Alvarez +1
    Pediatric reportsPeer-reviewedCC BYFull textGeneral medicineEurope PMC
  3. Subjective word-finding complaints in older adults: Development and preliminary psychometric evaluation of a novel self-reported questionnaire
    F. El-Khaldi, A. Marier, P. Vitali +3
    medRxivPreprintAll rights reservedFull textPsychiatry & mental healthmedRxiv
  4. Development and preliminary psychometric evaluation of a spectacle trial-wear questionnaire for distance single-vision prescriptions.
    Meina Huang, Zheyi Chen
    Frontiers in medicinePeer-reviewedCC BYFull textEpidemiology & public healthEurope PMC
  5. Psychometric Properties of the Short-Form Five Facet Mindfulness Questionnaire (FFMQ-15) in Medical Sciences Students: A Cross-Cultural Validation Study with Diagnostic Utility Analysis
    O. Parvizifard, A. Parvizifard, A. Forughi +1
    medRxivPreprintCC BYFull textPsychiatry & mental healthmedRxiv
BibTeX
@article{huffman2026psychometric,
  title = {{Psychometric properties of the symptom and nutrition assessment questionnaire: a preliminary investigation using real-world digital health data from WellTheory}},
  author = {Landry Huffman and Kelsey L. McAlister and Courtney Jewell and Jennifer L. Huberty},
  journal = {Frontiers in Digital Health},
  year = {2026},
  month = nov,
  doi = {10.3389/fdgth.2026.1910189},
  url = {https://doi.org/10.3389/fdgth.2026.1910189},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Psychometric properties of the symptom and nutrition assessment questionnaire: a preliminary investigation using real-world digital health data from WellTheory
AU  - Landry Huffman
AU  - Kelsey L. McAlister
AU  - Courtney Jewell
AU  - Jennifer L. Huberty
PY  - 2026
DA  - 2026/11/04
JO  - Frontiers in Digital Health
DO  - 10.3389/fdgth.2026.1910189
UR  - https://doi.org/10.3389/fdgth.2026.1910189
AB  - IntroductionAutoimmune conditions impose multidomain symptom burdens that existing validated instruments inadequately capture in digital health contexts, where proprietary patient-reported outcome measures are widely deployed but rarely formally evaluated.MethodsThis retrospective study examined the psychometric properties of the Symptom and Nutrition Assessment Questionnaire (SNAQ) in 734 adults enrolled on the WellTheory digital health platform, approximately one-third of whom carried a formal autoimmune diagnosis.ResultsInternal consistency of the final 10-item measure was acceptable to good (Cronbach's α = .83; McDonald's ω = .91; ωh = .63). Exploratory factor analysis in a training subsample supported a four-factor structure reflecting neuro/autonomic symptoms, fatigue and energy, musculoskeletal pain, and upper gastrointestinal symptoms, confirmed via confirmatory factor analysis in an independent held-out test subsample. Total scores showed small-to-moderate positive associations with depression, anxiety, fatigue severity, and pain interference, and a small negative association with life satisfaction, with domain-level patterns consistent with a priori hypotheses. Among 178 participants with paired assessments within 24 weeks, total SNAQ scores showed a statistically significant reduction (mean difference = -1.89 points; SRM = -0.45), with the largest domain-level change observed for Upper GI symptoms.DiscussionThese findings provide preliminary support for the SNAQ's psychometric properties as a multidomain symptom monitoring instrument and offer a methodological model for evaluating proprietary outcome measures in real-world digital health settings. Future work should prioritize discriminant validity testing, test-retest reliability, and establishment of clinically interpretable change thresholds.
SN  - 2673-253X
ER  -