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September 10, 2025Journal of Intellectual & Developmental Disability

Quality of life predictors for individuals with intellectual disability: Cross-sectional proxy-report data from a multicentre study

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Authors

JBJuan Luis Blanco-LópezDFDiego Fernández-LázaroLSLeticia Sánchez-Valdeón

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Overview

Cross-sectional analysis identifies specific quality of life predictors by support intensity in adults with intellectual disabilities.

Key Points

  • Distinct quality of life predictors were identified for low and high-support intensity groups, indicating the need for personalized care.
  • Findings revealed that factors such as mental health status and living environment significantly influenced quality of life for the low-support group.
  • The study utilized hierarchical regression analysis on 19 variables related to personal characteristics and support needs to assess quality of life.
  • These results highlight the importance of tailoring support based on individual dependency levels to enhance quality of life.

Cite This Study

Blanco-López et al. (2025) studied this question.

synapsesocial.com/papers/68c1ad5c54b1d3bfb60e57cfhttps://doi.org/10.3109/13668250.2025.2532918
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Also Consider

Synapse has enriched 2 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Moving from the quality of life concept to a theory2005 · 457 citations
  2. 2The concept of quality of life and its role in enhancing human rights in the field of intellectual disability2012 · 254 citations