biostudies-literatureChan DYLMinistry of Higher Education, Malaysia342-350https://www.ebi.ac.uk/biostudies/studies/S-EPMC11503575biostudies-literatureUnknown24 Suppl 1<h4>Aim</h4>Mobility applications have the potential to support low-income older adults in facing mobility challenges. However, there is a generally lower uptake of technology in this segment. To understand factors affecting the intention to use a mobility app, we drew upon the Protection Motivation Theory, and tested a model of low-income older adults' technology adoption.<h4>Methods</h4>A cross-sectional survey was conducted across seven states in Malaysia among community-dwelling low-income older adults aged ≥60 years old (n = 282). Measurement items were adapted from pre-validated scales and 7-point Likert Scales were used. Partial least squares structural equation modeling was utilized to assess the hypothesized model.<h4>Results</h4>Mobility technology awareness was found to shape anGeriatrics & gerontology internationalWhat drives low-income older adults' intention to use mobility applications?PMC11503575LR005‐2019GOV‐000047LRGS/1/2019/UM/01/1/1LR005-2019GOV-000047Lee SWHChan DYLTeh PLChong CYfalseWhat drives low-income older adults' intention to use mobility applications?<h4>Aim</h4>Mobility applications have the potential to support low-income older adults in facing mobility challenges. However, there is a generally lower uptake of technology in this segment. To understand factors affecting the intention to use a mobility app, we drew upon the Protection Motivation Theory, and tested a model of low-income older adults' technology adoption.<h4>Methods</h4>A cross-sectional survey was conducted across seven states in Malaysia among community-dwelling low-income older adults aged ≥60 years old (n = 282). Measurement items were adapted from pre-validated scales and 7-point Likert Scales were used. Partial least squares structural equation modeling was utilized to assess the hypothesized model.<h4>Results</h4>Mobility technology awareness was found to shape an2024-01-01T00:00:00Z2024 Mar2025-04-19T13:36:45.256Z2025-04-19T13:36:45.256ZS-EPMC115035753816913610.1111/ggi.14790