Constarium
← Search

Table · dataset · 2026

Unraveling the “Anxiety–Adherence Paradox”: Illness Perception Clusters Predict Non–Adherence in Newly Diagnosed Asthma

Listed in figshare

<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.

Read the rest (2 more)

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>

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Longitudinal study 65%
Provenance · 1 source records, 22 field assertions
SourceKeyLast seenRaw
figshareoai:figshare.com:article/339450488 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · figshare comconnector:figshare_com@1.0.0
concepts[field].anzsrc:field:320211mapping · figshare comvocabulary-mapper@1.0.0keywords['Infectious Diseases']
concepts[field].anzsrc:field:440710mapping · figshare comvocabulary-mapper@1.0.0keywords['Science Policy']
concepts[field].anzsrc:group:3101mapping · figshare comvocabulary-mapper@1.0.0keywords['Cell Biology']
concepts[field].anzsrc:group:3204mapping · figshare comvocabulary-mapper@1.0.0keywords['Immunology']
concepts[field].local:field:astronomymapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:chemistrymapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:computer-science-aimapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:earth-environmentalmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:economics-financemapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:engineeringmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:humanitiesmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:life-sciencesmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:medicine-healthmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:psychology-behavioralmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:social-sciencemapping · figshare comconnector:figshare_com@1.0.0
concepts[method].local:method:longitudinal-studyenrichment · figshare comkeyword-concept-rules@1.0.0title+description (65%)
descriptionsource · figshare comconnector:figshare_com@1.0.0/metadata/dc/description
licensesource · figshare comconnector:figshare_com@1.0.0/metadata/dc/rights
publication_datesource · figshare comconnector:figshare_com@1.0.0
titlesource · figshare comconnector:figshare_com@1.0.0/metadata/dc/title