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Cross-sectional analysis identifies specific quality of life predictors by support intensity in adults with intellectual disabilities.
This research investigated quality of life (QoL) predictors in Spanish adults with intellectual and developmental disabilities. Individuals with high versus low-support intensity levels were compared. In this cross-sectional study, 396 participants were divided into two groups based on support intensity and their QoL was evaluated using validated proxy-report measures (INICO-FEAPS/San Martín). Hierarchical regression analysis was conducted for 19 variables (QoL predictors) relating to personal characteristics, support needs, and environment. Findings demonstrated distinct QoL predictors for the two groups: recorded intellectual disability etiology; mental health status; living environment, adaptive behaviour; and institutionalisation were significant for the low-support intensity group, while adaptive behaviour and behavioural disorders were significant for the high-support intensity group. Different variables affect QoL for low and high-support intensity groups and highlight potential benefits of personalised care based on individual dependency levels.
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Blanco-López et al. (2025) studied this question.
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