Abstract
The prevalence of diabetes is greater in older, low-income, urban South African populations. Exploring the potential of mobile applications to aid in this challenge, the research focuses on 514 diabetic patients in Cape Town, applying the Theory of Planned Behaviour. Utilizing Partial Least Squares Structural Equation Modelling, the study identifies age-specific variations in factors influencing mobile app use. While overall predictability of intention to use mobile health apps for exercise is moderate (R2 = 11.6%), specific relationships differ across age groups. Notably, relationships involving Social Norm, Intention, and Perceived Behavioural Control show insignificance in certain age brackets. Although the study retains significance for the oldest age group at a 95% confidence interval, compared to the original 99%, the overall model exhibits low predictive power. The findings underscore the necessity for designers to tailor mobile applications to diverse age requirements. This research contributes to theoretical understanding by highlighting age-related nuances in the Theory of Planned Behaviour, offering practical insights for intervention design and public health policies to enhance diabetes management among various age groups in South Africa.
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