2026-10-06T22:27:34Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33985540 2026-09-24T12:55:02Z category_27103 category_27079 item_type_3 month_year_09_2026

Supporting dataset for manuscript "Prioritization of Age-Friendly Health and Fitness App Features" Yanxiang Yang (25104028) Health management Aged health care Healthy ageing model Healthy ageing human-computer interaction <p dir="ltr">Health and fitness apps are increasingly used among older adults, yet their efficacy is often undermined by mismatches between age-friendly design features and users’ motivational needs. This study integrated a systematic review (Study 1; <i>n</i>=92 articles) and an incentive-aligned Maximum-Difference experiment with direct anchoring (Study 2; <i>n</i>=913 older adults) to prioritize age-friendly health and fitness app features. We estimated feature priorities using hierarchical Bayes modeling, and examined user heterogeneity via k‑means clustering. Twelve core age-friendly features were identified and classified into five categories, with prior usage frequency ranging from 9 to 43 (Study 1). Study 2, however, revealed moderate congruence with Study 1 and a clear preference hierarchy, with <i>remote health and activity monitoring</i>ranked highest. Profiling the three clusters revealed distinct user types that differed in both feature priorities and demographics. The findings offer theoretical and practical insights for age‑friendly health and fitness app design in promoting active ageing.</p> 2026-09-24T12:55:02Z Dataset Dataset 10.6084/m9.figshare.33985540.v1 https://figshare.com/articles/dataset/Supporting_dataset_for_manuscript_Prioritization_of_Age-Friendly_Health_and_Fitness_App_Features_/33985540 CC BY 4.0