Table · dataset · 2026
Unraveling the “Anxiety–Adherence Paradox”: Illness Perception Clusters Predict Non–Adherence in Newly Diagnosed Asthma
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<p>Background</p> <p>Medication adherence is critical for asthma management but often suboptimal.
Description
Illness perceptions (IP), patients’ cognitive and emotional representations of illness, are key determinants of adherence.</p> <p>Objective</p> <p>This study aimed to identify IP clusters at diagnosis and determine their predictive value for medication adherence over the 6-month follow-up period and clinical outcomes.</p> <p>Methods</p> <p>In this prospective cohort study, 212 newly diagnosed asthma patients were enrolled.
We applied consensus clustering analysis to the Brief Illness Perception Questionnaire (B-IPQ) to identify robust IP clusters. Multivariable logistic regression was used to assess whether cluster membership independently predicted medication adherence over the 6-month follow-up period.</p> <p>Results</p> <p>Four distinct IP clusters were identified: Pessimistic–Helpless, Underestimating–Low Control, Hypersensitive–Anxious, and Adaptive–Vigilant.
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Over the 6-month follow-up period, the Hypersensitive–Anxious cluster, despite reporting the highest level of concern, demonstrated the poorest medication adherence and suboptimal asthma control, suggesting an <b>“</b>anxiety–adherence paradox<b>”</b>. Moreover, baseline cluster membership independently predicted good medication adherence over follow-up.</p> <p>Conclusions</p> <p>Illness perceptions are heterogeneous early in asthma.
Baseline IP clusters may aid risk stratification and personalized management.</p>
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Where it is published
- DOI doi.org/10.6084/m9.figshare.33945048.v1 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
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- Longitudinal study 65%
Provenance · 1 source records, 22 field assertions
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