2026-10-10T09:25:44Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33945048 2026-09-20T13:00:02Z category_7 category_12 category_19 category_21 category_46 category_106 category_122 category_132 portal_87 item_type_3 month_year_09_2026

Unraveling the “Anxiety–Adherence Paradox”: Illness Perception Clusters Predict Non–Adherence in Newly Diagnosed Asthma Yuling Hu (649539) Hailun Huang (23235639) Li Jiang (120930) Zhaoqian Gong (9426322) Liyu Yang (818717) Shuyu Huang (10841474) Jianpeng Liang (12056726) Yisheng Lan (25077852) Wenshan Ouyang (15194697) Wenqu Zhao (12080080) Shaoxi Cai (158124) Haijin Zhao (12080089) Medicine Cell Biology Pharmacology Biotechnology Immunology Science Policy Mental Health Infectious Diseases asthma illness perception cluster medication adherence consensus clustering analysis asthma control <p>Background</p> <p>Medication adherence is critical for asthma management but often suboptimal. 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. 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> 2026-09-20T13:00:02Z Dataset Dataset 10.6084/m9.figshare.33945048.v1 https://figshare.com/articles/dataset/Unraveling_the_Anxiety_Adherence_Paradox_Illness_Perception_Clusters_Predict_Non_Adherence_in_Newly_Diagnosed_Asthma/33945048 CC BY 4.0